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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
main_conference | poster | Any3D-VLA: Enhancing VLA Robustness via Diverse Point Clouds | [
"Xianzhe Fan",
"Shengliang Deng",
"Xiaoyang Wu",
"Yuxiang Lu",
"Zhuoling Li",
"Mi Yan",
"Yujia Zhang",
"Zhizheng Zhang",
"He Wang",
"Hengshuang Zhao"
] | Existing Vision-Language-Action (VLA) models typically take 2D images as visual input, which limits their spatial understanding in complex scenes. How can we incorporate 3D information to enhance VLA capabilities? We conduct a pilot study across different observation spaces and visual representations. The results show ... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #912 | null | https://icml.cc/virtual/2026/poster/60472 | https://openreview.net/pdf/01fd7931fc7be08bf369b6a34264822e6d1de9b9.pdf | https://openreview.net/forum?id=zyMvoKYWMZ |
main_conference | poster | Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning | [
"Shimeng Huang",
"Matthew Robinson",
"Francesco Locatello"
] | Mendelian Randomization (MR) is a prominent observational epidemiological research method, designed to address unobserved confounding when estimating causal effects. It is closely related to instrumental variable (IV) methods, where genetic variants serve as instruments to infer causal relationships from observational ... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #4415 | null | https://icml.cc/virtual/2026/poster/60473 | https://openreview.net/pdf/d6ec8c1600d03bd615a3e13f10f9cef729711eea.pdf | https://openreview.net/forum?id=zxJXgfCm63 |
main_conference | poster | AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs | [
"Yaoting Wang",
"Ziyi Zhang",
"Wenming Tu",
"Shaoxuan Xu",
"Wenjie Du",
"Cheng Liang",
"weijun wang",
"Yuanchao Li",
"Guangyao Li",
"Hao Fei",
"Yuanchun Li",
"Henghui Ding",
"Yunxin Liu"
] | Recent advances in Omni-Multimodal Large Language Models (Omni-MLLMs) have enabled strong integration of vision, audio, and language. However, their audio-visual intelligence (AVI) remains insufficiently evaluated due to the lack of systematic and comprehensive benchmarks. We introduce AVI-Bench, a cognitively inspired... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #2313 | null | https://icml.cc/virtual/2026/poster/60474 | https://openreview.net/pdf/b803c07eec7d683e8873861f66f06bd761762c6d.pdf | https://openreview.net/forum?id=zvkcVWBmcF |
main_conference | poster | From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data | [
"Yuming ZHAO",
"Junhui Hou",
"Qijian Zhang",
"Jia Qin",
"Ying He"
] | Geometric analysis fundamentally distinguishes between extrinsic and intrinsic perspectives. The dominant paradigm in current 3D representation learning relies on either extrinsic spatial structures or high-level semantics, struggling to capture the essence of shape identity and underlying manifold topology. To bridge ... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #1411 | null | https://icml.cc/virtual/2026/poster/60476 | https://openreview.net/pdf/0f1f62f305b653e5fcd9baa7f8556620ffa92477.pdf | https://openreview.net/forum?id=zupxQlD4cw |
main_conference | poster | Grouter: Decoupling Routing from Representation for Accelerated MoE Training | [
"Yuqi Xu",
"Rizhen Hu",
"zihan liu",
"Mou Sun",
"Kun Yuan"
] | Traditional Mixture-of-Experts (MoE) training typically proceeds without any structural priors, effectively requiring the model to simultaneously train expert weights while searching for an optimal routing policy within a vast combinatorial space. This entanglement often leads to sluggish convergence and training insta... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #1803 | null | https://icml.cc/virtual/2026/poster/60478 | https://openreview.net/pdf/09d8a1ae99f7fe8368dbcb71f9061e3cabbcfc58.pdf | https://openreview.net/forum?id=ztVp5EqREE |
main_conference | poster | ScoreMix: Synthetic Data Generation by Score Composition in Diffusion Models Improves Face Recognition | [
"Parsa Rahimi",
"Sébastien Marcel"
] | Synthetic data generation is increasingly used in machine learning for training and data augmentation. Yet, many current strategies rely on external foundation models or datasets, which can be restricted by policy or legal constraints, especially for sensitive modalities such as human face images and videos. We propose... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #2404 | null | https://icml.cc/virtual/2026/poster/60479 | null | null |
main_conference | poster | Attention's forward pass and Frank-Wolfe | [
"Albert Alcalde",
"Borjan Geshkovski",
"Domènec Ruiz-Balet"
] | We analyze the hardmax limit of self-attention dynamics for token embeddings in the zero-temperature regime $(\beta \to +\infty)$ and relate it to finite-$\beta$ behavior. In this limit, the update rule can be viewed as a Frank-Wolfe step for a quadratic objective over the convex hull of the current tokens. When the ke... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #4608 | null | https://icml.cc/virtual/2026/poster/60480 | https://openreview.net/pdf/27487f72b78f0e902f212c596df3bd0ada0a176a.pdf | https://openreview.net/forum?id=zrn7rRuvhW |
main_conference | poster | Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence | [
"Yanan Wang",
"Shuaicong Hu",
"Jian Liu",
"Guohui Zhou",
"Aiguo Wang",
"Cuiwei Yang"
] | The impressive performance of generalist large language models (LLMs) such as GPT-4 and Claude in healthcare raises a critical question: will domain-specific medical specialist models become obsolete? We argue that the future of medical artificial intelligence (AI) lies not in building monolithic medical foundation mod... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #115 | null | https://icml.cc/virtual/2026/poster/60481 | https://openreview.net/pdf/13be05b144f9854b1934bacdaba365f01baf2a00.pdf | https://openreview.net/forum?id=zrVSSx6348 |
main_conference | poster | ROAMM: A Benchmark Dataset for Multimodal Human Attention Decoding and EEG-to-Text Modeling During Naturalistic Reading | [
"Haorui Sun",
"Ardyn Olszko",
"Niharika Singh",
"David Jangraw"
] | We present Reading Observed At Mindless Moments (ROAMM), a large-scale multimodal dataset comprising 50 hours of simultaneous EEG and eye-tracking recorded during naturalistic multi-page reading from 44 participants, with annotations including eye events, page-level comprehension scores, and word-level mind-wandering (... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #414 | null | https://icml.cc/virtual/2026/poster/60483 | https://openreview.net/pdf/ada458fb948b8a9ba69f454949f412d6cb1ebbe7.pdf | https://openreview.net/forum?id=zqLPdt09fE |
main_conference | poster | DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents | [
"Shijie Cao",
"Yuan Yuan",
"Jing Liu"
] | Progress in neural combinatorial optimization for Dynamic Flexible Job Shop Scheduling Problem (DFJSP) is currently hindered by a methodological tension: static benchmarks encourage benchmark overfitting, while uncalibrated generators obscure algorithmic difficulty with stochastic noise. To resolve this, we introduce \... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #4112 | null | https://icml.cc/virtual/2026/poster/60484 | https://openreview.net/pdf/0d6a4a01cd5d552e0b23228d076849fa446dc717.pdf | https://openreview.net/forum?id=zouCZ6s5Zj |
main_conference | poster | Motion-Residual Conflict-Aware Time Reversal for Generative Inbetweening | [
"Zhenbang zhang",
"Zihui Cui",
"Haythem El-Messiry",
"Renmin Han",
"Zhiqiang Xu"
] | Image-to-video (I2V) diffusion models have recently made generative inbetweening a practical reality by synthesizing semantically plausible intermediate frames between two keyframes. Among them, inference-time sampling schemes that re-use large pre-trained I2V backbones without any additional training are especially at... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #1114 | null | https://icml.cc/virtual/2026/poster/60485 | https://openreview.net/pdf/c6eeb81242d1301f209c8c712dffb5cb269cabb1.pdf | https://openreview.net/forum?id=zoExtsg436 |
main_conference | poster | ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution | [
"Zican Dong",
"Peiyu Liu",
"Junyi Li",
"Zhipeng Chen",
"Han Peng",
"Shuo Wang",
"Xin Zhao"
] | Recently, large language models (LLMs) have shown remarkable reasoning abilities by producing long reasoning traces. However, as the sequence length grows, the key-value (KV) cache expands linearly, incurring significant memory and computation costs. Existing KV cache eviction methods mitigate this issue by discarding ... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #2205 | null | https://icml.cc/virtual/2026/poster/60486 | https://openreview.net/pdf/2f9a1eee81f63fe0f0b7366028c29e861c31e8e7.pdf | https://openreview.net/forum?id=znV8JHv8b8 |
main_conference | poster | Polishing-Only Policies in Peer Reviews are Currently Not Enforceable | [
"Rounak Saha",
"Gurusha Juneja",
"Dayita Chaudhuri",
"Naveeja Sajeevan",
"Nihar Shah",
"Danish Pruthi"
] | With growing concerns about reviewers using Large Language Models (LLMs) for writing peer reviews, several conferences and journals have enacted policies thatprohibit LLM usage except for polishing, paraphrasing, and grammar correction of otherwise human-written reviews. But, are these policies enforceable? To answer t... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #3110 | null | https://icml.cc/virtual/2026/poster/60487 | null | null |
main_conference | poster | Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation | [
"Yachun Mi",
"Yu Li",
"Yanting Li",
"Chen Hui",
"Tong Zhang",
"Zhixuan Li",
"Chenyue Song",
"Wei Yang Bryan Lim",
"Shaohui Liu"
] | Accurate and efficient Video Quality Assessment (VQA) has long been a key research challenge. Current mainstream VQA methods typically improve performance by pretraining on large-scale classification datasets, followed by fine-tuning on VQA datasets. However, this strategy presents two significant challenges: (1) merel... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #604 | null | https://icml.cc/virtual/2026/poster/60488 | https://openreview.net/pdf/c47032ba7fee4ba6b722a986bae5c54562cf2f48.pdf | https://openreview.net/forum?id=zmAMq09bFs |
main_conference | poster | Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity | [
"Jiayi Zhang",
"Simon Yu",
"Derek Chong",
"Anthony Sicilia",
"Michael Tomz",
"Christopher Manning",
"Weiyan Shi"
] | Post-training alignment often reduces LLM diversity, leading to a phenomenon known as mode collapse. Unlike prior work that attributes this effect to algorithmic limitations, we identify a fundamental, pervasive data-level driver: typicality bias in preference data, whereby annotators systematically favor familiar text... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #1608 | null | https://icml.cc/virtual/2026/poster/60489 | https://openreview.net/pdf/5e5e47a91355b3ceb7b70c3f76bc98e72b1d6c25.pdf | https://openreview.net/forum?id=zloIrd77G5 |
main_conference | poster | Quantile-Free Uncertainty Quantification in Graph Neural Networks | [
"Soyoung Park",
"Hwanjun Song",
"Sungsu Lim"
] | Uncertainty quantification (UQ) in graph neural networks (GNNs) is crucial in high-stakes domains but remains a significant challenge. In graph settings, message passing often relies on strong assumptions such as exchangeability, which are rarely satisfied in practice. Moreover, achieving reliable UQ typically requires... | thursday | 2026-07-09 | Poster Session 6 [10:30-12:15] | 2026-07-09T10:30:00+09:00 | 2026-07-09T12:15:00+09:00 | HALL A #2404 | null | https://icml.cc/virtual/2026/poster/60491 | https://openreview.net/pdf/0ce88778464bfc45287c529c3be9039e5c095042.pdf | https://openreview.net/forum?id=zlU90YE4EJ |
main_conference | poster | Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification | [
"Shaohao Rui",
"Kaitao Chen",
"Weijie Ma",
"Xiaosong Wang"
] | Extended Chain-of-Thought (CoT) reasoning has significantly bolstered the capabilities of medical large language models (LLMs). However, current models exhibit static computational expenditure, applying lengthy reasoning processes indiscriminately to both simple queries and complex diagnostic cases. This inefficiency i... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #515 | null | https://icml.cc/virtual/2026/poster/60493 | https://openreview.net/pdf/c0db46cb76a4fadf97a195164b05a8538a1fa7e2.pdf | https://openreview.net/forum?id=zlJehQJATy |
main_conference | poster | The Forgetting-Retention Dilemma: Certified Unlearning Theory in Continual Learning | [
"Yiting Hu",
"Lingjie Duan",
"Qian Zhang"
] | Machine unlearning aims to eliminate the influence of specific data from trained models to safeguard privacy. However, this presents a significant challenge in the context of continual learning (CL), where models update sequentially on dynamic datasets. A major limitation is that current certified unlearning algorithms... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #3112 | null | https://icml.cc/virtual/2026/poster/60494 | https://openreview.net/pdf/82522ad5fb3cb21375498e35dbcca0de0739e399.pdf | https://openreview.net/forum?id=zlIyJEp9nM |
main_conference | poster | From 2D Grids to 1D Tokens: Reforming Shared Representations for Multimodal Image Fusion | [
"Yuchen Xian",
"Yunqiu Xu",
"Yang He",
"Yi Yang"
] | Multimodal image fusion (MMIF) aims to integrate complementary information from different modalities into a single fused image that preserves fine local details while maintaining globally consistent appearance. Most existing approaches build shared representations on 2D feature grids, which excel at modeling local stru... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #1008 | null | https://icml.cc/virtual/2026/poster/60496 | https://openreview.net/pdf/5397f0d1bfe5d6533d3c88fd56b30c288fa3e089.pdf | https://openreview.net/forum?id=zjsvhm2QyV |
main_conference | poster | Q-Tab: Quantized Tabular Data Generator | [
"Julian Wustl",
"Philipp Haid",
"Yarema Okhrin",
"Claudius Schnörr"
] | Codebook-based generators built on masked language model (MLM) transformers have become highly effective in text and vision, yet remain underused for tabular data. This is because codebooks typically act as information bottlenecks, whereas tabular generation requires them to generalize. We address this gap with Q-Tab, ... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #2311 | null | https://icml.cc/virtual/2026/poster/60497 | https://openreview.net/pdf/2553c9eaf2fcf777fdb5aa1a6f4baacad888ac42.pdf | https://openreview.net/forum?id=ziw0N3L4KD |
main_conference | poster | Optimal Estimation of Continuous Treatment Effects with Kernel Ridge Regression | [
"Seok-Jin Kim",
"Kaizheng Wang"
] | We consider the problem of estimating the effect function of a continuous treatment, which maps each treatment value to its average effect over the population. A central challenge in this setting is confounding: treatment assignment often depends on covariates, creating selection bias that makes direct regression of th... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #4006 | null | https://icml.cc/virtual/2026/poster/60498 | null | null |
main_conference | poster | AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning | [
"Wei LIN",
"Yining Jiang",
"Qingyu Song",
"Qiao Xiang",
"Hong Xu"
] | Zeroth-Order (ZO) optimization has emerged as a promising solution for fine-tuning LLMs under strict memory constraints, as it avoids the prohibitive memory cost of storing activations for backpropagation. However, existing ZO methods typically employ isotropic perturbations, neglecting the rich structural information ... | thursday | 2026-07-09 | Poster Session 6 [10:30-12:15] | 2026-07-09T10:30:00+09:00 | 2026-07-09T12:15:00+09:00 | HALL A #3809 | null | https://icml.cc/virtual/2026/poster/60499 | https://openreview.net/pdf/02e32f9d0486afa4016a72b98a823b10fa2f5bb9.pdf | https://openreview.net/forum?id=zfVxpXEZti |
main_conference | poster | TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation | [
"Sizhe Zhao",
"Shengping Zhang",
"Shuo Yang",
"Weiyu Zhao",
"Shuigen Wang",
"Xiangyang Ji"
] | Existing embodied control research demonstrates remarkable performance improvements by scaling training data and model size. We instead explore inference-time strategy as an alternative axis. Non-deterministic generative models, such as diffusion and autoregressive models, have been widely adopted in the field of embod... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #705 | null | https://icml.cc/virtual/2026/poster/60500 | https://openreview.net/pdf/92a1a24ced74c407244b6d22ab3a1374057b8cc8.pdf | https://openreview.net/forum?id=zeIa4sZCD1 |
main_conference | poster | AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design | [
"Zhenyuan Zhao",
"Yu Xing",
"Tianyang Xue",
"Lingxin Cao",
"Xin Yan",
"Lin Lu"
] | Designing microstructures that satisfy coupled cross-physics objectives is a fundamental challenge in material science. This inverse design problem involves a vast, discontinuous search space where traditional topology optimization is computationally prohibitive, and deep generative models often suffer from "physical h... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #1514 | null | https://icml.cc/virtual/2026/poster/60501 | https://openreview.net/pdf/c79111c3e0ee6b34319347c9f74f54b0369cc5e4.pdf | https://openreview.net/forum?id=zd6V4IqBkd |
main_conference | poster | Condition-Aware Graph Flow Matching for Modeling the Distributions of Complex Physical Systems | [
"Xiaochao Deng",
"Jie Chen",
"Xiaogang Deng"
] | Accurately modeling the full distributions of possible states is crucial for understanding statistical properties and enabling reliable predictions in complex, unsteady physical systems. Recently, diffusion models and flow matching have shown promise in these tasks. However, they remain limited in uncovering the genera... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #2905 | null | https://icml.cc/virtual/2026/poster/60502 | null | null |
main_conference | poster | Token-Level LLM Collaboration via FusionRoute | [
"Nuoya Xiong",
"Yuhang Zhou",
"Hanqing Zeng",
"Zhaorun Chen",
"Furong Huang",
"Shuchao Bi",
"Lizhu Zhang",
"Zhuokai Zhao"
] | Large language models (LLMs) exhibit strengths across diverse domains. However, achieving strong performance across these domains with a single general-purpose model typically requires scaling to sizes that are prohibitively expensive to train and deploy. On the other hand, while smaller domain-specialized models are m... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #1610 | null | https://icml.cc/virtual/2026/poster/60503 | https://openreview.net/pdf/4a8c2fedbf8549963745ce4c8732d39d60fbcfd7.pdf | https://openreview.net/forum?id=zcYZpdsn9u |
main_conference | poster | RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference | [
"Wenhao Li",
"Jinhao Dong",
"Lei Li",
"Wenhang Shi",
"WEI LU",
"Xiaoyong Du"
] | Long-context Large Language Model inference is severely bottlenecked by the massive Key-Value (KV) cache, yet existing sparse attention methods often suffer from static fixed-budget (Top-k) retrieval or rely on proxy scores that are computationally expensive and biased. To address these limitations, we propose RaBitQCa... | thursday | 2026-07-09 | Poster Session 6 [10:30-12:15] | 2026-07-09T10:30:00+09:00 | 2026-07-09T12:15:00+09:00 | HALL A #2011 | null | https://icml.cc/virtual/2026/poster/60504 | https://openreview.net/pdf/143e7b39f8d0886e3ab9eb945ac96b1b214ccc85.pdf | https://openreview.net/forum?id=zc8ZDMJmKB |
main_conference | poster | Target-Agnostic Calibration under Distribution Shift with Frequency-Aware Gradient Rectification | [
"Yilin Zhang",
"Cai Xu",
"You Wu",
"Ziyu Guan",
"Wei Zhao"
] | Real-world deployments inevitably encounter distribution shifts, rendering the confidence estimates of deep neural networks highly unreliable, posing severe risks in safety-critical applications. Existing methods improve calibration via training-time regularization or post-hoc adjustment, but often rely on access to (o... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #3205 | null | https://icml.cc/virtual/2026/poster/60505 | https://openreview.net/pdf/fdfd1739eccdbf6418934058e2380016faacaadf.pdf | https://openreview.net/forum?id=zYeCwBTtVt |
main_conference | poster | Towards Spectroscopy: Susceptibility Clusters in Language Models | [
"Andrew Gordon",
"Daniel Murfet",
"William Snell",
"Garrett Baker",
"George Wang",
"Stan van Wingerden"
] | Spectroscopy infers the internal structure of physical systems by measuring their response to perturbations. We apply this principle to neural networks: perturbing the data distribution by upweighting a token $y$ in context $x$, we measure the model's response via susceptibilities $\chi_{xy}$, which are covariances bet... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #107 | null | https://icml.cc/virtual/2026/poster/60506 | https://openreview.net/pdf/aabf4dbbadcbbde4a323b94da37b5423ec0d9076.pdf | https://openreview.net/forum?id=zYSl5Qj6Cw |
main_conference | spotlight | Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior | [
"Xiang Li",
"Dianbo Liu",
"Kenji Kawaguchi"
] | Despite the remarkable fidelity of generative models, they frequently suffer from mode collapse. Existing strategies for enhancing diversity predominantly focus on intervening during the generation trajectory. We identify a critical oversight that the standard Gaussian initialization often causes trajectories to collap... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #2804 | null | https://icml.cc/virtual/2026/poster/60507 | https://openreview.net/pdf/15d02cbc20f70657b9a2d9f4228abf497d24c1a6.pdf | https://openreview.net/forum?id=zXJjT0slV7 |
main_conference | poster | How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs | [
"Liyan Chen",
"Zoe Xi",
"Yael Kalai"
] | As AI models continue to develop powerful capabilities, it becomes critical that we are able to verify that their output is aligned with our intentions. A recent line of work focuses on verification via debate, a model of interactive proofs where two competing powerful provers, or AI models, debate each other to convin... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #3004 | null | https://icml.cc/virtual/2026/poster/60508 | https://openreview.net/pdf/e37aa1be912bae1a4a4a228be012b905d43b5ca0.pdf | https://openreview.net/forum?id=zWj01NGa1O |
main_conference | spotlight | What You Think is What You See: Driving Exploration in VLM Agents via Visual-Linguistic Curiosity | [
"Haoxi Li",
"Qinglin Hou",
"Jianfei Ma",
"Jinxiang Lai",
"Tao Han",
"Sikai Bai",
"Jingcai Guo",
"Jie ZHANG",
"Song Guo"
] | To navigate partially observable visual environments, recent VLM agents increasingly internalize world modeling capabilities directly into their policies via explicit CoT reasoning with reinforcement learning (RL). However, mere passive exploitation of reasoning on visited states is insufficient for sparse-reward agent... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #209 | null | https://icml.cc/virtual/2026/poster/60509 | https://openreview.net/pdf/e5d27bda00873e4c5a7b8aaba01d755786855655.pdf | https://openreview.net/forum?id=zWStW3hrfW |
main_conference | poster | LILO: Bayesian Optimization with Natural Language Feedback | [
"Katarzyna Kobalczyk",
"Zhiyuan Jerry Lin",
"Benjamin Letham",
"Zhuokai Zhao",
"Maximilian Balandat",
"Eytan Bakshy"
] | Many real-world optimization problems are guided by complex, subjective preferences that are difficult to express as explicit closed-form objectives. In response, we introduce Language-in-the-Loop Optimization (LILO), a Bayesian optimization (BO) framework that employs a large language model (LLM) to translate free-for... | thursday | 2026-07-09 | Poster Session 6 [10:30-12:15] | 2026-07-09T10:30:00+09:00 | 2026-07-09T12:15:00+09:00 | HALL A #3612 | null | https://icml.cc/virtual/2026/poster/60511 | https://openreview.net/pdf/9067b321b75d7efc38a928522b0ca2feecffccf0.pdf | https://openreview.net/forum?id=zVrbE9ZtEU |
main_conference | poster | Intervene When It Doubts: Conjunction-Guided Interactive Reasoning | [
"Qianyue Wang",
"Jinwu Hu",
"Zhiquan Wen",
"Bailin Chen",
"Huanxiang Lin",
"Yufeng Wang",
"Yaofo Chen",
"Yu Rong",
"Yuanqing Li",
"Mingkui Tan"
] | Large Reasoning Models (LRMs) excel at complex reasoning but suffer from inefficient reasoning, like overthinking and overshoot. These issues stem from excessive or misdirected reasoning triggered by the model's "doubt", manifested as self-validation and exploratory extension, increasing computational cost and degradin... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #2104 | null | https://icml.cc/virtual/2026/poster/60512 | https://openreview.net/pdf/a08a2a75f029c0233ae999154af620017fa8f4cc.pdf | https://openreview.net/forum?id=zVjLO7jg9T |
main_conference | poster | Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning | [
"Vivienne Huiling Wang",
"Tinghuai Wang",
"Joni Pajarinen"
] | The combination of exponentially large action spaces, stochastic dynamics, and long-horizon decision-making under limited resources makes Sequential Stochastic Combinatorial Optimization (SSCO) particularly challenging for reinforcement learning. Hierarchical Reinforcement Learning (HRL) offers a natural decomposition,... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #4500 | null | https://icml.cc/virtual/2026/poster/60513 | https://openreview.net/pdf/48fc7c37332dde5a6ad0b239d676adb5b39fae9e.pdf | https://openreview.net/forum?id=zV5ktcEs8j |
main_conference | poster | Generative Large Neighborhood Search: Scalable Set Cover Optimization via Discrete Diffusion | [
"Achref Jaziri",
"Thibaut Cuvelier",
"Bruno De Backer"
] | Large-scale Set Cover Problems (SCP) with millions of variables and complex cost structures require high-quality solutions within seconds, yet remain beyond the reach of exact solvers and pose severe generalization challenges for neural methods. Such problems necessitate decomposition into bounded subproblems; however,... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #3803 | null | https://icml.cc/virtual/2026/poster/60514 | https://openreview.net/pdf/e158a3c49899591b09cc816db5074d091b59d694.pdf | https://openreview.net/forum?id=zU2ZZB5wmF |
main_conference | poster | Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity | [
"Menglin Xia",
"Xuchao Zhang",
"Shantanu Dixit",
"Paramaguru Harimurugan",
"Rujia Wang",
"Victor Ruehle",
"Robert A Sim",
"Chetan Bansal",
"Saravanakumar Rajmohan"
] | Agent memory systems must accommodate continuously growing information while supporting efficient, context-aware retrieval for downstream tasks. Abstraction is essential for scaling agent memory, yet it often comes at the cost of specificity, obscuring the fine-grained details required for effective reasoning. We intro... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #1913 | null | https://icml.cc/virtual/2026/poster/60515 | https://openreview.net/pdf/0cb2d1b1e6a87f8e3c6fa7ef5facd8b3f2346657.pdf | https://openreview.net/forum?id=zSrvkj0ers |
main_conference | poster | MAMBO-G: Magnitude-Aware Mitigation for Boosted Guidance | [
"Shangwen Zhu",
"Qianyu Peng",
"Zhilei Shu",
"Yuting Hu",
"Han Zhang",
"Andy Zheng",
"Xinyu Cui",
"Jian Zhao",
"Ruili Feng",
"Fan Cheng"
] | High-fidelity text-to-image and text-to-video generation typically relies on Classifier-Free Guidance (CFG), but achieving optimal results often demands computationally expensive sampling schedules. In this work, we propose MAMBO-G, a training-free acceleration framework that significantly reduces computational cost by... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #912 | null | https://icml.cc/virtual/2026/poster/60516 | https://openreview.net/pdf/688a9eb4fa3e46fbf00cdf43c9cdc65bc1a68aa5.pdf | https://openreview.net/forum?id=zSKSZm46DO |
main_conference | spotlight | Stop When Further Reasoning Won’t Help: Attention-State Adaptive Generation in Reasoning Models | [
"Jiakai Li",
"KE QIN",
"Rongzheng Wang",
"Yizhuo Ma",
"Qizhi Chen",
"Muquan Li",
"Shuang Liang"
] | By incorporating test-time compute scaling, large reasoning models (LRMs) are able to solve complex problems by generating explicit chain-of-thought (CoT) reasoning processes. However, they often suffer from overthinking during generation, resulting in redundant token outputs and degraded accuracy. Existing methods to ... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #1407 | null | https://icml.cc/virtual/2026/poster/60517 | https://openreview.net/pdf/9609b2673e2f01822103a90e37f75b0997ad6e16.pdf | https://openreview.net/forum?id=zRMK32N6t6 |
main_conference | poster | VeRO: An Evaluation Harness for Agents to Optimize Agents | [
"Varun Ursekar",
"Apaar Shanker",
"Veronica Chatrath",
"Yuan Xue",
"Samuel Denton"
] | An important emerging application of coding agents is agent optimization: the iterative improvement of a target agent through edit–execute–evaluate cycles. Despite its relevance, the community lacks a systematic understanding of coding agent performance on this task. Agent optimization differs fundamentally from conven... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #1810 | null | https://icml.cc/virtual/2026/poster/60518 | null | null |
main_conference | poster | Split Personality Training: Revealing Latent Knowledge Through Alternate Personalities | [
"Florian Dietz",
"William Wale",
"Oscar Gilg",
"Robert McCarthy",
"Felix Michalak",
"Gustavo Danon",
"Miguelito De Guzman",
"Dietrich Klakow"
] | Detecting misalignment in large language models is challenging because models may learn to conceal misbehavior during training. Standard auditing techniques fall short: black-box methods often cannot distinguish misaligned outputs from benign ones, and mechanistic interpretability does not scale with model capabilities... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #3115 | null | https://icml.cc/virtual/2026/poster/60519 | https://openreview.net/pdf/63a75892f227694c88f4f61189efbd474f04e199.pdf | https://openreview.net/forum?id=zQvKcvs9HE |
main_conference | poster | Generalized Discrete Diffusion with Self-Correction | [
"Linxuan Wang",
"Ziyi Wang",
"Yikun Bai",
"Wei Deng",
"Guang Lin",
"Qifan Song"
] | Self-correction is an effective technique for maintaining parallel sampling in discrete diffusion models with minimal performance degradation. Prior work has explored self-correction at inference time or during post-training; however, such approaches often suffer from limited generalization and may impair reasoning per... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #2212 | null | https://icml.cc/virtual/2026/poster/60520 | https://openreview.net/pdf/2e89ecf138acc11f3940c863a6e8e78f1e53dfce.pdf | https://openreview.net/forum?id=zQKlzKB6I9 |
main_conference | poster | Rays as Pixels: Learning A Joint Distribution of Video and Camera Trajectories | [
"Wonbong Jang",
"Shikun Liu",
"Soubhik Sanyal",
"Juan Perez",
"Kam Woh Ng",
"Sanskar Agrawal",
"Juan-Manuel Perez-Rua",
"Yiannis Douratsos",
"Tao Xiang"
] | Can we bridge the gap between perceiving camera trajectories and rendering novel views within a single generative framework? Recovering camera parameters from images and rendering scenes from novel viewpoints are considered the forward and inverse problems in the field of computer vision and graphics. Previous approach... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #2604 | null | https://icml.cc/virtual/2026/poster/60522 | https://openreview.net/pdf/c0a4677a69a2b0522f6d321e1f3ee53bad83072c.pdf | https://openreview.net/forum?id=zOdTlk9Uw0 |
main_conference | poster | NAACA: Training-Free NeuroAuditory Attentive Cognitive Architecture with Oscillatory Working Memory for Salience-Driven Attention Gating | [
"Zhongju Yuan",
"Geraint Wiggins",
"Dick Botteldooren"
] | Audio provides critical situational cues, yet current Audio Language Models (ALMs) face an attention bottleneck in long-form recordings where dominant background patterns can dilute rare, salient events. We introduce NAACA, a training-free NeuroAuditory Attentive Cognitive Architecture that reframes attention allocatio... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #710 | null | https://icml.cc/virtual/2026/poster/60523 | https://openreview.net/pdf/6b5b42fc8de9b60af0430a4656cb832fec4dc784.pdf | https://openreview.net/forum?id=zOWrIO6oKT |
main_conference | poster | A KL-regularization framework for learning to plan with adaptive priors | [
"Álvaro Serra-Gómez",
"Daniel Jarne Ornia",
"Dhruva Tirumala",
"Thomas M Moerland"
] | Effective exploration remains a key challenge in model-based reinforcement learning (MBRL), especially in high-dimensional continuous control tasks where sample efficiency is critical. Recent work addresses this by using learned policies as proposal distributions for Model-Predictive Path Integral (MPPI) planning. Earl... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #111 | null | https://icml.cc/virtual/2026/poster/60524 | https://openreview.net/pdf/0f4c69716f176f7f2527c512e073f4b98bfc1625.pdf | https://openreview.net/forum?id=zO8vzSGgTn |
main_conference | poster | LangPrecip: Language-Aware Multimodal Precipitation Nowcasting | [
"Xudong Ling",
"Lichaorong",
"Huang Tianxi",
"Qian Dong",
"Guiduo Duan"
] | Short-term precipitation nowcasting is inherently under-constrained due to limited historical observation windows: identical observations can lead to multiple plausible future trajectories, especially for extreme events. Existing generative methods rely solely on visual features and lack explicit constraints on precipi... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #1307 | null | https://icml.cc/virtual/2026/poster/60525 | https://openreview.net/pdf/6423fcd343945069edbaa1cc64748365420343ca.pdf | https://openreview.net/forum?id=zNVyFEuP1n |
main_conference | poster | WorldCompass: Reinforcement Learning for Long-Horizon World Models | [
"Zehan Wang",
"Tengfei Wang",
"Haiyu Zhang",
"Xuhui Zuo",
"Junta Wu",
"Haoyuan Wang",
"Wenqiang Sun",
"Zhenwei Wang",
"Chenjie Cao",
"Hengshuang Zhao",
"Chunchao Guo",
"Zhou Zhao"
] | This work presents WorldCompass, a novel Reinforcement Learning (RL) post-training framework for the long-horizon, interactive video-based world models, enabling them to explore the world more accurately and consistently based on interaction signals. To effectively "steer" the world model's exploration, we introduce th... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #108 | null | https://icml.cc/virtual/2026/poster/60526 | https://openreview.net/pdf/8c671871fac54a09ed422cd2a3eb199c6315f934.pdf | https://openreview.net/forum?id=zN8QDhuOHN |
main_conference | poster | Weight Decay Improves Language Model Plasticity | [
"Tessa Han",
"Sebastian Bordt",
"Hanlin Zhang",
"Sham Kakade"
] | The prevailing paradigm in large language model (LLM) development is to pretrain a base model, then perform further training to improve performance and model behavior. However, hyperparameter optimization and scaling laws have been studied primarily from the perspective of the base model's validation loss, ignoring dow... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #1812 | null | https://icml.cc/virtual/2026/poster/60527 | https://openreview.net/pdf/a5ea3f579b91c49ac6c2a38dd5eea2b5bfbb89b6.pdf | https://openreview.net/forum?id=zMO9H4hLyR |
main_conference | poster | No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference | [
"Pranav Mani",
"Peng Xu",
"Zachary Lipton",
"Michael Oberst"
] | Prediction-Powered Inference (PPI) is a popular strategy for combining gold-standard and possibly noisy pseudo-labels to perform statistical estimation. Prior work has shown an asymptotic \enquote{free lunch} for PPI++, an adaptive form of PPI, showing that the \textit{asymptotic} variance of PPI++ is always less than ... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #4415 | null | https://icml.cc/virtual/2026/poster/60528 | https://openreview.net/pdf/8673257d529172ef1b03d15edb50588148984112.pdf | https://openreview.net/forum?id=zM5MbWc6wc |
main_conference | poster | TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches | [
"Zhengxian Huang",
"Wenjun Zhu",
"Haoxuan Qiu",
"Xiaoyu Ji",
"Wenyuan Xu"
] | By integrating Chain-of-Thought (CoT) reasoning, Vision-Language-Action (VLA) models have demonstrated strong capabilities in robotic manipulation, particularly by improving generalization and interpretability. However, the security of CoT-based reasoning mechanisms remains largely unexplored. In this paper, we show th... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #2808 | null | https://icml.cc/virtual/2026/poster/60529 | https://openreview.net/pdf/356a56aed85abff518cb8094f301c4c7c8e54632.pdf | https://openreview.net/forum?id=zLUPTgV7BI |
main_conference | poster | Building Better Deception Probes Using Targeted Instruction Pairs | [
"Vikram Natarajan",
"Devina Jain",
"Shivam Arora",
"Satvik Golechha",
"Joseph Bloom"
] | Linear probes are a promising approach for monitoring AI systems for deceptive behaviour. Previous work has shown that a linear classifier trained on a contrastive instruction pair and a simple dataset can achieve good performance. However, these probes exhibit notable failures even in straightforward scenarios, includ... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #3309 | null | https://icml.cc/virtual/2026/poster/60530 | null | null |
main_conference | poster | Learning to Emulate Chaos: Adversarial Optimal Transport Regularization | [
"Gabriel Melo",
"Leonardo Santiago",
"Peter Y. Lu"
] | Chaos arises in many complex dynamical systems, from weather to power grids, but is difficult to accurately model using data-driven emulators, including neural operator architectures. For chaotic systems, the inherent sensitivity to initial conditions makes exact long-term forecasts theoretically infeasible, meaning th... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #1304 | null | https://icml.cc/virtual/2026/poster/60531 | https://openreview.net/pdf/f484036ddcbf316742867f7df84460b0db80b9dc.pdf | https://openreview.net/forum?id=zIHEctNlcP |
main_conference | poster | IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination | [
"Yuanshuai Li",
"Yuping Yan",
"Jirui Han",
"Fei Ming",
"Lingjuan Lyu",
"Yaochu Jin"
] | Hallucination remains a fundamental challenge for Multimodal Large Language Models (MLLMs). While Direct Preference Optimization (DPO) is a key alignment framework, existing approaches often rely heavily on costly external evaluators for scoring or rewriting, incurring off-policy learnability gaps and discretization lo... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #3210 | null | https://icml.cc/virtual/2026/poster/60532 | https://openreview.net/pdf/4cf18891feb0aaf7a9b0aac3039b5d5fe06d25f3.pdf | https://openreview.net/forum?id=zGTe0EwB8q |
main_conference | poster | TransLight: Image-Guided Customized Lighting Control with Generative Decoupling | [
"Zongming Li",
"Lianghui Zhu",
"Haocheng Shen",
"Longjin Ran",
"Wenyu Liu",
"Xinggang Wang"
] | Most existing illumination-editing methods struggle to jointly offer customized lighting control and preserve content integrity, limiting their effectiveness especially in transferring complex light effects from a reference to a target image in portrait photography. To address this problem, we propose TransLight, a nov... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #2407 | null | https://icml.cc/virtual/2026/poster/60533 | https://openreview.net/pdf/707b49b78d7570f3ca96a97665706ff680e1c243.pdf | https://openreview.net/forum?id=zFw9qaYGXd |
main_conference | poster | From Generalist to Specialist Representation | [
"Yujia Zheng",
"Fan Feng",
"Yuke Li",
"Shaoan Xie",
"Kevin Murphy",
"Kun Zhang"
] | Learning truthful task-relevant latent representations $\mathbf{s}$ from observations $\mathbf{o} = f(\mathbf{s})$ is fundamental. Identifiability, the asymptotic guarantee of recovering the ground-truth representation, is critical because it sets the ultimate limit of any model, even with infinite data and computation... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #107 | null | https://icml.cc/virtual/2026/poster/60534 | https://openreview.net/pdf/abcfa3472a6dec17057c6475687c57c80824ee7b.pdf | https://openreview.net/forum?id=zEg7sA2VBv |
main_conference | poster | SiameseNorm: Breaking the Barrier to Reconciling Pre/Post-Norm | [
"Tianyu Li",
"Dongchen Han",
"Zixuan Cao",
"Haofeng Huang",
"Mengyu Zhou",
"Ming Chen",
"erchao.zec",
"xiaoxi jiang",
"guanjunjiang",
"Gao Huang"
] | Modern Transformers predominantly adopt the Pre-Norm paradigm for its optimization stability, foregoing the superior potential of the unstable Post-Norm architecture. Prior attempts to combine their strengths typically lead to a stability-performance trade-off. We attribute this phenomenon to a structural incompatibili... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #1716 | null | https://icml.cc/virtual/2026/poster/60535 | https://openreview.net/pdf/abf3be7d5ba39056dfacdc09e5b80a4bd7d5e766.pdf | https://openreview.net/forum?id=zDcoHkyxmE |
main_conference | poster | Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning | [
"Anushka Tiwari",
"Kaiyi Ji"
] | While prompt-based parameter-efficient continual learning mitigates catastrophic forgetting by isolating task-specific prompts, this isolation also limits later tasks from improving earlier ones, leaving backward knowledge transfer underexplored. We address this limitation by proposing Selective bAckward refinement for... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #3712 | null | https://icml.cc/virtual/2026/poster/60536 | https://openreview.net/pdf/cdf2fb7ed70ac5023ce5ed72e079ea70eaad5a02.pdf | https://openreview.net/forum?id=zD2ZhFSexc |
main_conference | poster | Precision-Induced Miscalibration: Understanding and Correcting Confidence Distortion in Quantized Neural Networks | [
"Jiawei Gu",
"Fengyuan Nie",
"Hao Tang",
"Yanpeng Sun"
] | Low-precision arithmetic is pervasive in neural network training and deployment, yet its effect on prediction \textit{confidence}, not just accuracy, remains unexamined. We show that the softmax function amplifies logit-space quantization errors in an input-dependent manner: confidence distortion scales with the produc... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #3014 | null | https://icml.cc/virtual/2026/poster/60537 | https://openreview.net/pdf/2f9afcadbd984c600a1e8ba02c9632aefe96662c.pdf | https://openreview.net/forum?id=zCkFbxKeF5 |
main_conference | poster | CAReDiO: Enhancing Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization | [
"Jing Yao",
"Xiaoyuan Yi",
"Jindong Wang",
"Zhicheng Dou",
"Xing Xie"
] | As Large Language Models (LLMs) more deeply integrate into human life across various regions, aligning them with pluralistic cultures is crucial for improving user engagement and mitigating cultural conflicts. For this purpose, recently, different culture-specific corpora have been carefully curated, either synthesized... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #3208 | null | https://icml.cc/virtual/2026/poster/60538 | https://openreview.net/pdf/f685d3bfef78d5e8dca773f0a1d567c7573fa5fb.pdf | https://openreview.net/forum?id=zChdTtZmO3 |
main_conference | poster | Textual Supervision Enhances Geospatial Representations in Vision-Language Models | [
"Marcelo Sartori Locatelli",
"Fernando Tonucci",
"Jea Kwon",
"Luiz Felipe Vecchietti",
"Bryan Nathanael Wijaya",
"Cheng Yaw Low",
"Virgilio Almeida",
"MEEYOUNG CHA"
] | Geospatial understanding is a critical yet underexplored dimension in the development of machine learning systems for tasks such as image geolocation and spatial reasoning. In this work, we analyze the geospatial representations acquired by three model families: vision-only architectures (e.g., ViT), vision-language mo... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #3301 | null | https://icml.cc/virtual/2026/poster/60539 | https://openreview.net/pdf/3558029d305a5b847a9ea7ae1587fc158d0dc040.pdf | https://openreview.net/forum?id=zC44mTE8Zu |
main_conference | poster | Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting | [
"Yunlong Zhou",
"Chen Zhao",
"danyang peng",
"Fanfan Ji",
"Xiaotong Yuan"
] | Accurate precipitation nowcasting is vital for disaster mitigation, but deep learning methods suffer a key trade-off: regression models produce over-smoothed, spectrally decaying predictions that blur convective details and violate turbulence power laws; diffusion models generate realistic yet unanchored hallucinations... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #904 | null | https://icml.cc/virtual/2026/poster/60540 | https://openreview.net/pdf/e63841eb859379ea39f87990a5c19d6fc53cc3cc.pdf | https://openreview.net/forum?id=zB4xF9tfdm |
main_conference | poster | The Ideal Expression Is Not a Local Optimum: A Revisit of EQL with Zero-Point Constraints | [
"Sannyuya Liu",
"Ao Chen",
"Lin Liu",
"Ruxia Liang",
"Xiaoxuan Shen",
"Jianwen Sun"
] | Symbolic Regression aims to discover interpretable mathematical expressions from data. Equation Learner (EQL) is a gradient-based method with strong fitting capability and expressive potential, yet it often activates redundant operators as model complexity grows, leading to over-complex expressions and unstable equatio... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #2708 | null | https://icml.cc/virtual/2026/poster/60541 | null | null |
main_conference | oral | Motion Attribution for Video Generation | [
"Xindi Wu",
"Despoina Paschalidou",
"Jun Gao",
"Antonio Torralba",
"Laura Leal-Taixé",
"Olga Russakovsky",
"Sanja Fidler",
"Jonathan Lorraine"
] | Despite the rapid progress of video generation models, the role of data in influencing motion is poorly understood. We present Motive (MOTIon attribution for Video gEneration), a motion-centric, gradient-based data attribution framework that scales to modern, large, high-quality video datasets and models. We use this t... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #2807 | null | https://icml.cc/virtual/2026/poster/60542 | https://openreview.net/pdf/24ac3b41f32abbf79a5ef7b5aae0f217024883e6.pdf | https://openreview.net/forum?id=zAl9heLw4q |
main_conference | poster | Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning | [
"Xin Cheng",
"Shuo He",
"Lang Feng",
"Haiyang Xu",
"Ming Yan",
"Lei Feng",
"Bo An"
] | Group-based reinforcement learning (RL) methods have achieved remarkable success in improving the performance of large language models (LLMs) and have been rapidly extended to agentic tasks. However, their credit assignment relies heavily on coarse-grained trajectory-level attribution according to final outcomes, makin... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #213 | null | https://icml.cc/virtual/2026/poster/60543 | https://openreview.net/pdf/5879f026bf4cadff5998102ff15bd5cbfdf24060.pdf | https://openreview.net/forum?id=zAFrIOeTCp |
main_conference | poster | Multi-Task GRPO: Reliable LLM Reasoning Across Tasks | [
"Shyam Sundhar Ramesh",
"Xiaotong Ji",
"Matthieu Zimmer",
"Sangwoong Yoon",
"Zhiyong Wang",
"Haitham Bou Ammar",
"Aurelien Lucchi",
"Ilija Bogunovic"
] | RL-based post-training with GRPO is widely used to improve large language models on individual reasoning tasks. However, real-world deployment requires reliable performance across diverse tasks. A straightforward multi-task adaptation of GRPO often leads to imbalanced outcomes, with some tasks dominating optimization w... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #2114 | null | https://icml.cc/virtual/2026/poster/60544 | https://openreview.net/pdf/c1e99e67c947550a1b1c9113d03270fbbeb7be12.pdf | https://openreview.net/forum?id=zA3KhRZ9A5 |
main_conference | poster | Game-Theoretic Co-Evolution for LLM-Based Heuristic Discovery | [
"Xinyi Ke",
"Kai Li",
"Junliang Xing",
"Yifan Zhang",
"Jian Cheng"
] | Large language models (LLMs) have enabled rapid progress in automatic heuristic discovery (AHD), yet most existing methods are predominantly limited by static evaluation against fixed instance distributions, leading to potential overfitting and poor generalization under distributional shifts. We propose Algorithm Space... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #3709 | null | https://icml.cc/virtual/2026/poster/60545 | https://openreview.net/pdf/1da993a1004f5f0ec41fa287ad1c103dd51b06d5.pdf | https://openreview.net/forum?id=z9x30tqLUV |
main_conference | poster | Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundations and Algorithms | [
"Trong Khiem Tran",
"Duc Chu Anh",
"Quang Hung Pham",
"Phi Le Nguyen",
"Nghia Hoang"
] | Cross-modal knowledge distillation (CMKD) aims to transfer knowledge from a teacher model in one modality to a student model in another modality. Existing CMKD methods have demonstrated strong empirical performance when paired multimodal data with aligned semantics are available, but such paired data are often costly o... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #2714 | null | https://icml.cc/virtual/2026/poster/60546 | null | null |
main_conference | poster | StableI2I: Spotting Unintended Changes in Image-to-Image Transition | [
"Jiayang Li",
"Shuo Cao",
"Xiaohui Li",
"Zhizhen Zhang",
"Kaiwen Zhu",
"Yule Duan",
"Yu Qiao",
"Jian Zhang",
"Yihao Liu"
] | In most real-world image-to-image (I2I) scenarios, existing evaluations primarily focus on instruction following and the perceptual quality or aesthetics of the generated images. However, they largely fail to assess whether the output image preserves the semantic correspondence and spatial structure of the input image.... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #1002 | null | https://icml.cc/virtual/2026/poster/60547 | https://openreview.net/pdf/34cb777f6de7630da07f79fe714c04298d48a903.pdf | https://openreview.net/forum?id=z9VuS0wKGW |
main_conference | poster | Expert-level Leaf Cell Layout Generation via Preference-Optimized LLM | [
"Yaohui Han",
"Rongliang Fu",
"Yanming Liu",
"Shuo Ren",
"Shuai Dong",
"Yunpeng Wang",
"Tinghuan Chen",
"Bei Yu",
"Tsung-Yi Ho"
] | In the field of integrated circuits, leaf cells are the basic units, serving as the fundamental building blocks (e.g., standard cells) that are widely reused in various VLSI designs, forming the basis for more complex circuits. Therefore, the design quality of leaf cell layouts significantly impacts the PPA (Power, Per... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #911 | null | https://icml.cc/virtual/2026/poster/60549 | https://openreview.net/pdf/7f845fb1f29a34f3e32c3d3a11beed12c05c076a.pdf | https://openreview.net/forum?id=z834t47Lr4 |
main_conference | poster | Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition | [
"Wanlong Fang",
"Tianle Zhang",
"Wen Tao",
"Alvin Chan"
] | Understanding \emph{modality interaction} in multimodal large language models (MLLMs) remains a central challenge for reliable and interpretable deployment. We introduce Partial Information Decomposition (PID) as a unified, decision-level framework that separates \emph{unique}, \emph{redundant}, and \emph{synergistic} ... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #1715 | null | https://icml.cc/virtual/2026/poster/60550 | https://openreview.net/pdf/9f849873d2ae403546ca7a2afb83ff9391a8e0a3.pdf | https://openreview.net/forum?id=z7ivDFlnSC |
main_conference | poster | Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook | [
"Jaehyeok Lee",
"Xiaoyuan Yi",
"Jing Yao",
"Hyunjin Hwang",
"Roy Lee",
"Xing Xie",
"JinYeong Bak"
] | As LLMs are globally deployed, aligning their cultural value orientations is critical for safety and user engagement. However, existing benchmarks face the Construct-Composition-Context (C$^3$) challenge: relying on discriminative, multiple-choice formats that probe value knowledge rather than true orientations, overlo... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #3207 | null | https://icml.cc/virtual/2026/poster/60551 | https://openreview.net/pdf/3c731087b08d2ce970863085f74170a3535b06bc.pdf | https://openreview.net/forum?id=z75O6LbPCF |
main_conference | poster | Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models | [
"Moule Lin",
"Shuhao Guan",
"Andrea Patane",
"David Gregg",
"Goetz Botterweck"
] | Large Language Models usually put more emphasis on accuracy and therefore, will guess even when not certain about the prediction, which is especially severe when fine-tuned on small datasets due to the inherent tendency toward miscalibration. In this work, we introduce Bayesian-LoRA, which reformulates the deterministi... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #3603 | null | https://icml.cc/virtual/2026/poster/60552 | https://openreview.net/pdf/8d629484206ed74360d06c66b7514a21ba5c9605.pdf | https://openreview.net/forum?id=z3rQmLk4Io |
main_conference | oral | Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs | [
"Sagnik Mukherjee",
"Lifan Yuan",
"Pavan Jayasinha",
"Dilek Hakkani-Tür",
"Hao Peng"
] | Reinforcement learning (RL), particularly RL from verifiable reward (RLVR), has become a crucial phase of training large language models (LLMs) and a key focus of current scaling efforts. However, optimization practices in RL largely follow those of next-token-prediction stages (e.g., pretraining and supervised fine-tu... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #2302 | null | https://icml.cc/virtual/2026/poster/60553 | https://openreview.net/pdf/0b393bac96c67d178c156076e106b7b86a174888.pdf | https://openreview.net/forum?id=z31fdV4WRu |
main_conference | poster | InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training | [
"Pengkai Wang",
"Pengwei Liu",
"Qi Zuo",
"Zhijie Sang",
"Congkai Xie",
"Hongxia Yang"
] | Reinforcement learning (RL) has powered many of the recent breakthroughs in large language models (LLMs), especially for tasks where rewards can be computed automatically, such as code generation. However, these methods deteriorate in open-ended domains like medical consultation, where feedback is inherently ambiguous,... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #614 | null | https://icml.cc/virtual/2026/poster/60554 | https://openreview.net/pdf/8dcad95ebb18a8e6d034de86514025d8124a3b38.pdf | https://openreview.net/forum?id=z2vVeIscEd |
main_conference | poster | Frequency-Aware Perceptual Optimization for Low-Complexity Implicit Image Compression | [
"Haotian Wu",
"Gen Li",
"Di You",
"Pier Luigi Dragotti",
"Deniz Gunduz"
] | We propose a frequency-aware perceptual optimization framework for low-complexity image compression, realized as a **Re**alism-enhanced **Re**gion-based **I**mplicit **C**odec (Re2IC). Re2IC models visual perception via saliency-guided region partitioning and local–global perceptual modulation. To enhance realism under... | thursday | 2026-07-09 | Poster Session 6 [10:30-12:15] | 2026-07-09T10:30:00+09:00 | 2026-07-09T12:15:00+09:00 | HALL A #1311 | null | https://icml.cc/virtual/2026/poster/60556 | https://openreview.net/pdf/dec404342270d564633429dd63e730b568cbbae0.pdf | https://openreview.net/forum?id=z1vpTBdeMe |
main_conference | poster | Focusing Where Vision Matters: Selective Training for Large Vision Language Models via Visual Information Gain | [
"Seulbi Lee",
"Sangheum Hwang"
] | Large Vision Language Models (LVLMs) have achieved remarkable progress, yet they often suffer from language bias, producing answers without relying on visual evidence. While prior work attempts to mitigate this issue through decoding strategies, architectural modifications, or curated instruction data, they typically l... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #2906 | null | https://icml.cc/virtual/2026/poster/60557 | https://openreview.net/pdf/43221e7b8083948c6f40c57a859dbd47975847a5.pdf | https://openreview.net/forum?id=z1bSFIEexL |
main_conference | poster | IO-Adam: Rethinking Memory-Efficient Adaptive Optimizers from Gradient Computation | [
"Yiting Chen",
"Zongwei Huo",
"Junchi Yan"
] | Adaptive Moment Estimation (Adam) is one of the most popular and often the default stochastic optimizers for deep neural network training. Using first- and second-moment estimation, Adam provides adaptive learning rates for each parameter, significantly outperforming Stochastic Gradient Descent (SGD). However, as deep ... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #2801 | null | https://icml.cc/virtual/2026/poster/60558 | https://openreview.net/pdf/24c3bb9b5f603f3ae8bb49ad1c8333958fff42ef.pdf | https://openreview.net/forum?id=z0m3EhzhOH |
main_conference | spotlight | Self-Soupervision: Cooking Model Soups without Labels | [
"Anthony Fuller",
"James Green",
"Evan Shelhamer"
] | Model soups are strange and strangely effective combinations of parameters. They take a model (the stock), fine-tune it into multiple models (the ingredients), and then mix their parameters back into one model (the soup) to improve predictions. While all known soups require supervised learning, and optimize the same lo... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #1502 | null | https://icml.cc/virtual/2026/poster/60559 | https://openreview.net/pdf/a1d880a4906c2a3dabc2863f4437ab8757b1bf6d.pdf | https://openreview.net/forum?id=z0UM7y0L4r |
main_conference | poster | Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal Graphs | [
"Joohyung Yun",
"Doyup Lee",
"Wook-Shin Han"
] | Open-domain multimodal document retrieval aims to retrieve specific components (paragraphs, tables, or images) from large and interconnected document corpora. Existing graph-based retrieval approaches typically rely on a uniform similarity metric that overlooks hop-specific semantics, and their rigid pre-defined plans ... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #909 | null | https://icml.cc/virtual/2026/poster/60560 | https://openreview.net/pdf/f2b21b3de44a00627b2351fab114e74310921e1f.pdf | https://openreview.net/forum?id=z0DFeWsI3f |
main_conference | poster | Mitigating the Contractivity Trap in Diffusion ODEs via Stein Stabilization | [
"Shigui Li",
"Delu Zeng"
] | A fundamental tension exists in the large-step inference of diffusion models via their deterministic probability flow ordinary differential equation (PF-ODE) paths, which we formally identify as the contractivity trap: efficient inference favors large step sizes, while stable convergence requires strong contractivity t... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #2810 | null | https://icml.cc/virtual/2026/poster/60561 | https://openreview.net/pdf/f7ef527eb5d39d0fcb503eaba7dfc6575dc1ee64.pdf | https://openreview.net/forum?id=z0CHTAHame |
main_conference | poster | Adaptive Time Series Reasoning via Segment Selection | [
"Shvat Messica",
"Jiawen Zhang",
"Kevin Li",
"Theodoros Tsiligkaridis",
"Marinka Zitnik"
] | Time series reasoning tasks increasingly start from a natural language question and require targeted analysis of time series. Relevant evidence may be global or confined to a few short segments, so the model must decide what to inspect. Most existing methods compress the full series into a fixed representation before i... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #2211 | null | https://icml.cc/virtual/2026/poster/60563 | https://openreview.net/pdf/a75e4ed6bb83a279b6809f8e5788dfddf40e707d.pdf | https://openreview.net/forum?id=yzBbBPheg7 |
main_conference | poster | Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations | [
"Zhonghao Li",
"Chaoyu Liu",
"Qian Zhang"
] | Partial differential equations (PDEs) are fundamental for modeling complex natural and physical phenomena. In many real-world applications, however, observational data are \textbf{extremely sparse}, which severely limits the applicability of both classical numerical solvers and existing neural approaches. While neural ... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #1413 | null | https://icml.cc/virtual/2026/poster/60564 | https://openreview.net/pdf/e1d3f75216d5a8e2cdfb09931157380a519b4561.pdf | https://openreview.net/forum?id=yylfMBpQ92 |
main_conference | poster | Beyond Pixel Context Windows: Neural World Simulators with Persistent 3D State | [
"Samuel Garcin",
"Tom Walker",
"Steven McDonagh",
"Tim Pearce",
"Hakan Bilen",
"Tianyu He",
"Kaixin Wang",
"Jiang Bian"
] | Interactive world models continually generate video by responding to a user's actions, enabling open-ended generation capabilities. However, existing models typically lack a 3D representation of the environment, meaning 3D consistency must be implicitly learned from data, and spatial memory is restricted to limited tem... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #2715 | null | https://icml.cc/virtual/2026/poster/60565 | null | null |
main_conference | poster | Future Dynamic 3D Reconstruction: A 3D World Model with Disentangled Ego-Motion | [
"Nils Morbitzer",
"Jonathan Evers",
"Artem Savkin",
"Thomas Stauner",
"Nassir Navab",
"Federico Tombari",
"Stefano Gasperini"
] | Forecasting the evolution of dynamic environments is crucial for autonomous agents. While generative world models have recently achieved high photorealism in 2D video synthesis, by mixing within the image plane ego-motion and environmental dynamics, they exhibit physical inconsistencies, such as morphing or vanishing o... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #1412 | null | https://icml.cc/virtual/2026/poster/60566 | https://openreview.net/pdf/4ec28a416456a24c5d6b70af014e14a15ffda2ee.pdf | https://openreview.net/forum?id=yyBWTXi8B5 |
main_conference | poster | DomED: Redesigning Ensemble Distillation for Domain Generalization | [
"Ziang Song",
"Zhou Zhidan",
"Zijun Zhang"
] | Domain generalization aims to improve model performance on unseen, out-of-distribution (OOD) domains, yet existing methods often overlook the crucial aspect of uncertainty quantification in their predictions. While ensemble learning combined with knowledge distillation offers a promising avenue, naively combining these... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #4108 | null | https://icml.cc/virtual/2026/poster/60567 | https://openreview.net/pdf/f4a7066fb81376d209f7844e214b08dd93516822.pdf | https://openreview.net/forum?id=yxygNW4mJl |
main_conference | spotlight | Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning | [
"Yike Zhao",
"Onno Eberhard",
"Malek khammassi",
"Ali Sayed",
"Michael Muehlebach"
] | The family of linear recurrent neural networks has shown strong performance as recurrent memory units in partially observable reinforcement learning. We provide a theoretical justification for their empirical effectiveness by constructing and studying two linear filters: (i) the first exactly reproduces the pre–softmax... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #4210 | null | https://icml.cc/virtual/2026/poster/60568 | https://openreview.net/pdf/de5e39510cac1dd850c6bfce5e5ed7dc7b3fec53.pdf | https://openreview.net/forum?id=ywjHJIkUgW |
main_conference | poster | Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization | [
"Mengjingcheng Mo",
"Jiaxu Leng",
"Xinbo Gao"
] | Video anomaly understanding (VAU) relies on sparse, context-dependent cues. However, existing passive paradigms suffer from observational aliasing, where static sampling fails to disambiguate semantically distinct events. To overcome this, we propose $Anom\text{-}\pi$, a closed-loop framework that reconceptualizes vide... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #107 | null | https://icml.cc/virtual/2026/poster/60569 | https://openreview.net/pdf/1f30eb1525687d67dfc66d2fa0bd6dca0d356a9a.pdf | https://openreview.net/forum?id=yvDKJfdokC |
main_conference | poster | DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts | [
"Jiarui Feng",
"Hanqing Zeng",
"Karish Grover",
"Ruizhong Qiu",
"Yinglong Xia",
"Qiang Zhang",
"Qifan Wang",
"Ren Chen",
"Dongqi Fu",
"Jiayi Liu",
"Zhuokai Zhao",
"Xiangjun Fan",
"Benyu Zhang",
"Yixin Chen"
] | Mixture-of-Experts (MoE) models have become a leading approach for decoupling parameter count from computational cost in large language models. Despite significant progress, effectively scaling MoE performance remains a challenge. Previous work shows that the use of fine-grained experts enlarges the space of expert com... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #107 | null | https://icml.cc/virtual/2026/poster/60570 | https://openreview.net/pdf/a680c8ec181dca96b830038c5484dfd13c29e3a6.pdf | https://openreview.net/forum?id=yv1iRquxF9 |
main_conference | poster | Sketch-Based Low-Rank Model Merging with Shared Circulant Transforms | [
"Zhiming Zhang",
"Rong Yin",
"Xiaoshuai Hao",
"Hansong Zhang",
"Hao Peng",
"Yong Liu",
"Can Ma",
"Dan Meng"
] | Merging multiple low-rank adapters (LoRA) provides a practical route to scaling multi-task learning and deployment more efficiently than full-model weight merging, while avoiding reliance on task-specific training data. However, most existing approaches either treat LoRA updates as dense weight deltas or depend on expe... | tuesday | 2026-07-07 | Poster Session 1 [10:30-12:15] | 2026-07-07T10:30:00+09:00 | 2026-07-07T12:15:00+09:00 | HALL A #4105 | null | https://icml.cc/virtual/2026/poster/60572 | https://openreview.net/pdf/1a05e1ae7d3d366a6ef4f5dba7209a3bd8c99d2d.pdf | https://openreview.net/forum?id=ytlRCCl7Pf |
main_conference | poster | The Realignment Problem: When Right becomes Wrong in LLMs | [
"Aakash Sen Sharma",
"Debdeep Sanyal",
"Manodeep Ray",
"Vivek Srivastava",
"Shirish Karande",
"Murari Mandal"
] | Post-training alignment of large language models (LLMs) relies on large-scale human annotations guided by policy specifications that change over time. Cultural shifts, value reinterpretations, and regulatory or industrial updates make static alignment increasingly brittle. As policies evolve, deployed models can diverg... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #3113 | null | https://icml.cc/virtual/2026/poster/60573 | https://openreview.net/pdf/75e2b5d0c9900135c8519454f6af2c4b6bf9778a.pdf | https://openreview.net/forum?id=yt6vQ8gbGm |
main_conference | poster | Learning Sparse Visual Representations via Spatial-Semantic Factorization | [
"Theodore Z. Zhao",
"Sid Kiblawi",
"Jianwei Yang",
"Naoto Usuyama",
"Reuben Tan",
"Noel Codella",
"Tristan Naumann",
"Hoifung Poon",
"Mu Wei"
] | Self-supervised learning (SSL) faces a fundamental conflict between semantic understanding and image reconstruction. High-level semantic SSL (e.g., DINO) relies on global tokens that are forced to be location-invariant for augmentation alignment, a process that inherently discards the spatial coordinates required for r... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #1700 | null | https://icml.cc/virtual/2026/poster/60574 | https://openreview.net/pdf/7bc2db4718668671fba000b24a2bdd307ab4cf97.pdf | https://openreview.net/forum?id=ysOOfySED6 |
main_conference | poster | Unbiased and Second-Order-Free Training for High-Dimensional PDEs | [
"Jaemin Seo",
"Su Rin Lee",
"JaeYong Lee"
] | Deep learning methods based on backward stochastic differential equations (BSDEs) have emerged as competitive alternatives to physics-informed neural networks (PINNs) for solving high-dimensional partial differential equations (PDEs). By leveraging probabilistic representations, BSDE approaches can avoid the curse of d... | wednesday | 2026-07-08 | Poster Session 3 [10:30-12:15] | 2026-07-08T10:30:00+09:00 | 2026-07-08T12:15:00+09:00 | HALL A #1109 | null | https://icml.cc/virtual/2026/poster/60575 | https://openreview.net/pdf/ecbd968d45956a4df19c150b391a10697f55b9e1.pdf | https://openreview.net/forum?id=ysBZhSRtCM |
main_conference | poster | More Capable, Less Cooperative? When LLMs Fail at Zero-Cost Collaboration | [
"Advait Yadav",
"Sidney Black",
"Oliver Sourbut"
] | Large language model (LLM) agents increasingly coordinate in multi-agent systems, yet we lack an understanding of where and why cooperation failures may arise. In many real-world coordination problems, from knowledge sharing in organizations to code documentation, helping others carries negligible personal cost while g... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #3210 | null | https://icml.cc/virtual/2026/poster/60576 | https://openreview.net/pdf/05f0fe42905a29a341761514acdf1df9b88b1ad6.pdf | https://openreview.net/forum?id=yrON8C1YTy |
main_conference | poster | Steering Large Language Models through the DMTA Cycle: Structure-Based Drug Design via Knowledge-Driven Bi-Level Thompson Sampling | [
"Xuanning Hu",
"Hao Tuo",
"Jinglong Ji",
"Anchen Li",
"Qianli Xing",
"Bo Yang"
] | Structure-based drug design (SBDD) can be effectively realized through an iterative refinement via the Design-Make-Test-Analyze (DMTA) cycle, which is a common workflow used by human experts. However, most LLMs function as one-shot generators that lack feedback mechanisms, leaving the DMTA loop disconnected. In this wo... | thursday | 2026-07-09 | Poster Session 8 [5:00-6:45] | 2026-07-09T17:00:00+09:00 | 2026-07-09T18:45:00+09:00 | HALL A #602 | null | https://icml.cc/virtual/2026/poster/60577 | https://openreview.net/pdf/ec7e0aa80a15fb5f5578f5dc859777cf5ce461f8.pdf | https://openreview.net/forum?id=yqF2ubqiCn |
main_conference | poster | UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling | [
"Kaiyu Huang",
"Xingyu Wang",
"Mingze Kong",
"Zhubo Shi",
"Yuqian Hou",
"Hong Xu",
"Zhongxiang Dai",
"Minchen Yu",
"Qingjiang Shi"
] | In real-world deployments of large language models (LLMs), balancing inference quality and computational cost has become a central challenge. Existing approaches tackle this trade-off along two largely independent dimensions: model routing, which switches among models of different scales to match request complexity, an... | wednesday | 2026-07-08 | Poster Session 5 [5:00-6:45] | 2026-07-08T17:00:00+09:00 | 2026-07-08T18:45:00+09:00 | HALL A #1711 | null | https://icml.cc/virtual/2026/poster/60578 | https://openreview.net/pdf/51e8575a74657774c57c5e57d5b96b0c774f07c4.pdf | https://openreview.net/forum?id=yopy1zxFFM |
main_conference | poster | Chunk-Guided Q-Learning | [
"Gwanwoo Song",
"Kwanyoung Park",
"Youngwoon Lee"
] | In offline reinforcement learning (RL), single-step temporal-difference (TD) learning can suffer from bootstrapping error accumulation over long horizons. Action-chunked TD methods mitigate this by backing up over multiple steps, but can introduce suboptimality by restricting the policy class to open-loop action sequen... | wednesday | 2026-07-08 | Poster Session 4 [2:30-4:15] | 2026-07-08T14:30:00+09:00 | 2026-07-08T16:15:00+09:00 | HALL A #616 | null | https://icml.cc/virtual/2026/poster/60579 | https://openreview.net/pdf/2127bcdbb30844e9d45086fdad03dc52a6001ccb.pdf | https://openreview.net/forum?id=yojuz84NLb |
main_conference | poster | Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed | [
"Yonggan Fu",
"Lexington Whalen",
"Zhifan Ye",
"Xin Dong",
"Shizhe Diao",
"Jingyu Liu",
"CHENGYUE WU",
"Hao Zhang",
"Enze Xie",
"Song Han",
"Maksim Khadkevich",
"Jan Kautz",
"Yingyan (Celine) Lin",
"Pavlo Molchanov"
] | Diffusion language models (dLMs) have emerged as a promising paradigm enabling parallel generation, but their learning efficiency lags behind that of autoregressive (AR) language models when trained from scratch. To this end, we study AR-to-dLM conversion, which transforms pretrained AR models into efficient dLMs that ... | thursday | 2026-07-09 | Poster Session 7 [2:30-4:15] | 2026-07-09T14:30:00+09:00 | 2026-07-09T16:15:00+09:00 | HALL A #107 | null | https://icml.cc/virtual/2026/poster/60580 | https://openreview.net/pdf/0b38d4d8e72b2fc349662e733066d6f9a2bf88c3.pdf | https://openreview.net/forum?id=ynRnOqI2W8 |
main_conference | poster | PortraitRL: Reinforcement Learning for Personalized Portrait Pose Transfer with Multi-Objective Reward Modeling | [
"Jiahui Wu",
"Zelong Sun",
"Yanbiao Ma",
"Zhiwu Lu"
] | Portrait pose transfer (PPT) requires generative models to preserve fine-grained identity details while following complex pose and layout modification instructions. Existing methods often struggle with extensive data annotation requirements or employ optimization objectives that are suboptimal for addressing PPT's two ... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #2610 | null | https://icml.cc/virtual/2026/poster/60581 | https://openreview.net/pdf/326a8f4ef50c6db9fb9f1ab921d610faf1f661f3.pdf | https://openreview.net/forum?id=yn2wy5qk0Y |
main_conference | poster | AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs | [
"WenXiang Lin",
"HuangJunTao",
"ZhangLuHan",
"Lilaiyi",
"Xiang Bao",
"mengyang zhang",
"BingWang Wang",
"Shaohuai Shi"
] | Quantization is a key method for reducing the GPU memory requirement of training large language models (LLMs). Yet, current approaches are ineffective for 4-bit activations and 8-bit gradients, which would easily cause slow convergence or accuracy loss. To address this, we introduce AGoQ, incorporating two new techniqu... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #2402 | null | https://icml.cc/virtual/2026/poster/60582 | https://openreview.net/pdf/ce47fcd555f470642b7ad45839fd6c7d35bbcf87.pdf | https://openreview.net/forum?id=ymHDVBwmta |
main_conference | poster | LLM-Guided Loop Bound Generation for Program Termination Verification | [
"Zan Gong",
"Biting Huang",
"Fei He"
] | Program termination is a fundamental liveness property in software verification. Proving termination of a given program is a formidable challenge due to the undecidability of the problem. In this paper, we propose LIFT, a termination verification framework that leverages LLMs to generate loop bounds within a guess-and-... | tuesday | 2026-07-07 | Poster Session 2 [2:00-3:45] | 2026-07-07T14:00:00+09:00 | 2026-07-07T15:45:00+09:00 | HALL A #907 | null | https://icml.cc/virtual/2026/poster/60583 | https://openreview.net/pdf/4fe8d2adb11ec276c38a901014006ad806b61f94.pdf | https://openreview.net/forum?id=ym8FNvY5z4 |
ICML 2026 — the whole conference, in one queryable dataset
10,815 papers (5,872 main-conference + 4,943 workshop) with titles, abstracts, authors, session times, rooms, and PDF links — plus every tutorial, invited talk, and workshop. Scraped from the official ICML 2026 virtual site and OpenReview, organized so an AI agent can answer real questions about the conference in one shot.
📱 Navigating ICML from your phone? Open Claude Code (or any agent), paste this dataset id, and ask "build me a Tuesday schedule for someone into RL and diffusion." That's it.
One line to load it
import pandas as pd
df = pd.read_parquet("hf://datasets/Drbellamy/icml-2026/data/papers.parquet")
or with 🤗 datasets:
from datasets import load_dataset
papers = load_dataset("Drbellamy/icml-2026", "papers", split="train")
Using it from Claude Code (even on your phone)
One-time setup (30 seconds, doable from your phone). Claude Code cloud sandboxes don't allow HuggingFace's file CDN by default, so enable network access once:
- Open claude.ai/code in your phone's browser
- Tap the cloud icon → the settings gear
- Set Network access → Full → Save changes
That's it — now start sessions from the Claude mobile app and they can reach this dataset. (Prefer an allowlist over "Full"? Choose Custom and add huggingface.co and *.hf.co.) Cloud sessions require a Pro, Max, or Team plan.
Then, in a Claude Code session, paste one line and ask a question:
Use the HuggingFace dataset Drbellamy/icml-2026 (config "papers", it's parquet).
Build me a personalized ICML Wednesday schedule — I care about RL infra,
agents, and efficient inference. Give me titles, times, and rooms.
The agent loads the parquet, filters, and hands you a plan.
Schema — papers config (one row per paper)
| column | type | description |
|---|---|---|
track |
string | main_conference or workshop |
paper_type |
string | oral, spotlight, poster, or workshop |
title |
string | paper title |
authors |
list[string] | author names in order |
abstract |
string | full abstract |
day |
string | tuesday … saturday (Seoul time) |
date |
string | ISO date, e.g. 2026-07-07 |
session |
string | session / workshop name |
session_start_kst |
string | ISO 8601, Asia/Seoul |
session_end_kst |
string | ISO 8601, Asia/Seoul |
location |
string | room / poster board |
workshop |
string | workshop name (null for main track) |
url |
string | ICML page |
pdf |
string | PDF link (OpenReview) where available |
openreview |
string | OpenReview forum link where available |
Other configs: main_conference_full (all 6,341 accepted main-track papers with PDFs, author IDs, keywords, and spotlight/regular tier), events (180 tutorials / invited talks / expo / socials, with abstracts and speaker bios), workshops (44 workshops with organizers and summaries). Per-day JSON is also in by_day/ for people who want structure over tables.
Example questions to ask an agent
- "Find every oral paper mentioning diffusion and list its time and room."
- "Build my Tuesday: I care about RL and robotics. No overlaps."
- "Which authors have the most papers at ICML 2026?"
- "List all workshop papers on interpretability with their PDF links."
- "Cluster Wednesday's poster abstracts into themes and summarize each."
- "What are the most common keywords among spotlight papers?"
Recipes
Schedule builder — "Given I care about X and Y, plan each day with no time conflicts; output a table of title / time / room / type." Topic discovery — "Embed the abstracts and cluster into 15 topics; name each and count papers." Reading list — "Rank all posters by relevance to 'long-context efficiency' and give me the top 25 with PDF links." Social graph — "Who are the most prolific authors, and which pairs co-author most often?"
Reproduce it / scrape your own conference
The full pipeline is open-source: github.com/DavidBellamy/icml2026-scraper. Any conference's virtual site + OpenReview + an agent = a queryable conference in your pocket.
Coverage & provenance
- Source: the official ICML 2026 virtual site (
icml.cc/virtual/2026) and OpenReview, July 2026. - Papers with PDF/OpenReview link: 9,801 / 10,815. The rest are papers whose titles didn't cleanly match across sources, plus workshop invited talks (no paper/PDF exists).
- Times are in Asia/Seoul (KST), the conference timezone. The
main_conference_fullconfig also carries UTC where relevant. - 1 workshop ("Game Theory in Nature") had not published its schedule at scrape time, so its papers are absent.
- This is a community scrape, refreshed during the conference. Counts may shift slightly as organizers finalize schedules.
License / rights
Titles, abstracts, and author information are the intellectual property of their respective authors and ICML. This dataset is shared for research and conference-navigation purposes. No paper PDFs are redistributed here — only links. If you are an author or organizer and want something changed, open a discussion on this dataset.
Citation
@misc{icml2026dataset,
title = {ICML 2026 Conference Dataset (papers, workshops, schedule)},
author = {Bellamy, David},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/Drbellamy/icml-2026}}
}
Built with Claude Code. Any conference scrape + HuggingFace + an agent = a queryable conference in your pocket.
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