ICLR
Collection
Accepted papers for ICLR (International Conference on Learning Representations), one dataset per year. • 14 items • Updated
title stringlengths 6 157 | paper_url stringlengths 42 42 | authors listlengths 1 84 | type stringclasses 2
values | primary_area stringclasses 21
values | abstract large_stringlengths 424 2.66k | keywords listlengths 1 42 | TL;DR large_stringlengths 6 250 ⌀ | submission_number int64 3 25.6k | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 2
values | embedding listlengths 768 768 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models | https://openreview.net/forum?id=6T3wJQhvc3 | [
"Ron Vainshtein",
"Zohar Rimon",
"Shie Mannor",
"Chen Tessler"
] | Poster | reinforcement learning | Recent advancements in imitation learning for robotic control have led to transformer-based behavior foundation models (BFMs) that enable multi-modal, human-like control for humanoid agents. These models generate solutions when conditioned on high-level goals or prompts, for example, walking to a coordinate when condit... | [
"Reinforcement Learning",
"Hierarchial Reinforcement Learning",
"Behavior Foundation Models",
"Humanoid Control"
] | Task Tokens enable task-specific adaptation of behavior foundation models by learning a reinforcement-trained encoder, enhancing control without compromising generalization. | 25,607 | 2503.22886 | title_snapshot | [
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... |
Decomposing LLM Computation with Jets | https://openreview.net/forum?id=u6JLh0BO5h | [
"Yihong Chen",
"Xiangxiang Xu",
"Pontus Stenetorp",
"Sebastian Riedel",
"Luca Franceschi"
] | Poster | interpretability and explainable AI | Large language models are becoming general knowledge engines for diverse applications. However, their computations are deeply entangled after training, resisting modularization which complicates interpretability, auditing, and long-term maintenance. We introduce Jet Expansions, a framework for expanding computational g... | [
"decomposition",
"transformer",
"neural-symbolic",
"n-grams",
"interpretability",
"controllability"
] | We introduce jet expansions: operators that "cuts through" LLM entaglement, separating parts of computation of interest and enabling systematic model inspection like n-gram tables | 25,587 | null | null | [
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... |
Neuron-Aware Data Selection in Instruction Tuning for Large Language Models | https://openreview.net/forum?id=uq6UWRgzMr | [
"Xin Chen",
"Junchao Wu",
"Shu Yang",
"Runzhe Zhan",
"Zeyu Wu",
"Min Yang",
"Shujian Huang",
"Lidia S. Chao",
"Derek F. Wong"
] | Poster | interpretability and explainable AI | Instruction Tuning (IT) has been proven to be an effective approach to unlock the powerful capabilities of large language models (LLMs).
Recent studies indicate that excessive IT data can degrade LLMs performance, while carefully selecting a small subset of high-quality IT data can significantly enhance their capabili... | [
"Instruction Tuning",
"Data Selection",
"Large Language Models"
] | NAIT is an efficient algorithm that selects high-quality instruction tuning data by analyzing neuron activation pattern similarity, enhancing large language models' performance and general capabilities. | 25,580 | 2603.13201 | title_snapshot | [
-0.04062799736857414,
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0.001... |
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models | https://openreview.net/forum?id=vpO8n9AqEG | [
"Hao Wang",
"Licheng Pan",
"Yuan Lu",
"Zi Ciu Chan",
"Tianqiao Liu",
"Shuting He",
"Zhixuan Chu",
"Qingsong Wen",
"Haoxuan Li",
"Zhouchen Lin"
] | Poster | learning on time series and dynamical systems | The design of training objective is central to training time-series forecasting models. Existing training objectives such as mean squared error mostly treat each future step as an independent, equally weighted task, which we found leading to the following two issues: (1) overlook the *label autocorrelation effect* amon... | [
"Time-series",
"time-series forecast"
] | null | 25,573 | 2511.00053 | title_snapshot | [
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Submodular Function Minimization with Dueling Oracle | https://openreview.net/forum?id=BeMtzSH1d7 | [
"Kaien Sho",
"Shinji Ito"
] | Poster | optimization | We consider submodular function minimization using a *dueling oracle*, a noisy pairwise comparison oracle that provides relative feedback on function values between two queried sets.
The oracle's responses are governed by a *transfer function*, which characterizes the relationship between differences in function values... | [
"submodular minimization",
"deling oracle",
"preference-based optimization"
] | We study submodular minimization with a dueling oracle giving noisy pairwise feedback. | 25,553 | null | null | [
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-... |
Improving Semantic Proximity in Information Retrieval through Cross-Lingual Alignment | https://openreview.net/forum?id=NvKvW5k6Kk | [
"Seongtae Hong",
"Youngjoon Jang",
"Jungseob Lee",
"Hyeonseok Moon",
"Heuiseok Lim"
] | Poster | unsupervised, self-supervised, semi-supervised, and supervised representation learning | With the increasing accessibility and utilization of multilingual documents, Cross-Lingual Information Retrieval (CLIR) has emerged as an important research area. Conventionally, CLIR tasks have been conducted under settings where the language of documents differs from that of queries, and typically, the documents are ... | [
"Cross-Lingual Alignment",
"Information Retrieval",
"Multilingual Embedding",
"Cross-Lingual Information Retrieval"
] | This paper identifies multilingual embedding gaps in cross-lingual retrieval, proposes scenario and Max@R metric, and introduces a training strategy combining JSD and InfoNCE loss, significantly improving cross-lingual alignment with minimal data. | 25,552 | 2604.05684 | title_snapshot | [
-0.006696826778352261,
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Test-Time Accuracy-Cost Control in Neural Simulators via Recurrent-Depth | https://openreview.net/forum?id=U2j9ZNgHqw | [
"Harris Abdul Majid",
"Pietro Sittoni",
"Francesco Tudisco"
] | Poster | applications to physical sciences (physics, chemistry, biology, etc.) | Accuracy-cost trade-offs are a fundamental aspect of scientific computing. Classical numerical methods inherently offer such a trade-off: increasing resolution, order, or precision typically yields more accurate solutions at higher computational cost. We introduce \textbf{Recurrent-Depth Simulator} (\textbf{RecurrSim})... | [
"Neural Simulator",
"Recurrent Depth",
"AI4Simulation"
] | null | 25,526 | null | null | [
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0.01... |
CORDS - Continuous Representations of Discrete Structures | https://openreview.net/forum?id=RObkOKADBU | [
"Tin Hadži Veljković",
"Erik J Bekkers",
"Michael Tiemann",
"Jan-Willem van de Meent"
] | Poster | learning on graphs and other geometries & topologies | Many learning problems require predicting sets of objects when the number of objects is not known beforehand. Examples include object detection, molecular modeling, and scientific inference tasks such as astrophysical source detection. Existing methods often rely on padded representations or must explicitly infer the s... | [
"Continuous set representations",
"Neural fields",
"Variable-cardinality prediction",
"Invertible encoding/decoding",
"Diffusion and flow matching",
"Object detection",
"Molecular generation",
"Simulation-based inference"
] | We turn discrete objects into continuous fields that implicitly encode their count, offering a simple way to handle variable cardinality across tasks and domains. | 25,519 | 2601.21583 | title_snapshot | [
-0.009147780947387218,
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-0.021373383700847626,
0.04003588855266571,
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-0.043903883546590805,
-0.0342218391597271,
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... |
MedAraBench: Large-scale Arabic Medical Question Answering Dataset and Benchmark | https://openreview.net/forum?id=1BXojAgNrg | [
"Mouath Abu Daoud",
"Leen Kharouf",
"Omar El Hajj",
"Dana El Samad",
"Mariam Al-Omari",
"Jihad Mallat",
"Khaled Saleh",
"Nizar Habash",
"Farah E. Shamout"
] | Poster | datasets and benchmarks | Arabic remains one of the most underrepresented languages in natural language processing research, particularly in medical applications, due to the limited availability of open-source data and benchmarks. The lack of resources hinders efforts to evaluate and advance the multilingual capabilities of Large Language Model... | [
"Dataset Benchmark",
"Large Language Models",
"Arabic Natural Language Processing",
"Medical Question Answering"
] | null | 25,508 | 2602.01714 | title_snapshot | [
-0.01637825183570385,
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0.024014629423618317,
0.023853477090597153,
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0.019984696060419083,
0.002992071444168687,
-0.002412965055555105,
-0.024825429543852806,
-0.03215980529785156,
0.05043744668364525,
-0.08010181039571762,
-0.0... |
Fracture-GS: Dynamic Fracture Simulation with Physics-Integrated Gaussian Splatting | https://openreview.net/forum?id=zcAwK50ft0 | [
"Xiaogang Wang",
"Hongyu Wu",
"Wenfeng Song",
"Kai Xu"
] | Poster | applications to robotics, autonomy, planning | This paper presents a unified framework for simulating and visualizing dynamic fracture phenomena in extreme mechanical collisions using multi-view image inputs. While existing methods primarily address elastic deformations at contact surfaces, they fail to capture the complex physics of extreme collisions, often produ... | [
"3D vision",
"Physics-based Simulation"
] | null | 25,504 | null | null | [
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-0.03342131897807121,
0.0... |
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