hunoutl/paperlists huggingface dataset:
Title: Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
Authors: Reza Esfandiarpoor, Stephen Bach
Affiliations: Department of Computer Science, Brown University, Providence, RI 02906, USA
Conference: iclr 2024 (main track)
Keywords: representation learning for computer vision;image classification;vision-language models;large language models;CLIP;GPT-3;LLAMA
Decision: Poster
Title: On the Parameterization of Second-Order Optimization Effective towards the Infinite Width
Authors: Satoki Ishikawa, Ryo Karakida
Affiliations: Artificial Intelligence Research Center, AIST, Japan; Department of Computer Science, Tokyo Institute of Technology, Japan
Conference: iclr 2024 (main track)
Keywords: Deep learning;Second-order optimization;K-FAC;Feature learning;Infinite width;Maximum update parameterization
Decision: Poster
Title: Adaptive Rational Activations to Boost Deep Reinforcement Learning
Authors: Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina Ramirez, Kristian Kersting
Affiliations: Computer Science Dept., TU Darmstadt; Computer Science Dept., TU Darmstadt, German Center for Artificial Intelligence, Hessian Center for Artifical Intelligence; Computer Science Dept., TU Darmstadt, German Center for Artificial Intelligence, Hessian Center for Artifical Intelligence, Centre for Cognitive Science, Darmstadt
Conference: iclr 2024 (main track)
Keywords: Deep Reinforcement Learning;Neural Plasticity;Activation Functions;Rational Functions
Decision: Spotlight
Title: BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
Authors: Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Gao Peng, Fengwei An, Yu Qiao, Ping Luo
Affiliations: The University of Hong Kong; OpenGVLab, Shanghai AI Laboratory; Southern University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Large Language Model Compression;LLM Pruning
Decision: Poster
Title: Efficient Backpropagation with Variance Controlled Adaptive Sampling
Authors: Ziteng Wang, Jianfei Chen, Jun Zhu
Affiliations: Dept. of Comp. Sci. and Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint ML Center, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: efficient training algorithms;stochastic gradient descent;importance sampling;variance reduction
Decision: Poster
Title: Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
Authors: HAOYUE DAI, Ignavier Ng, Gongxu Luo, Petar Stojanov, Peter Spirtes, Kun Zhang
Affiliations: Machine Learning Department, Mohamed bin Zayed University of Artificial Intelligence; Cancer Program, Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard; Department of Philosophy, Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Gene regulatory network;Single-cell RNA-sequencing;Dropout;Zero-inflated data;Causal model;Causal discovery;Nonparametric
Decision: Oral
Title: IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models
Authors: Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter Tu, Richard Hartley
Affiliations: Australian National University; GE Research
Conference: iclr 2024 (main track)
Keywords: image morphing;diffusion models;clip inversion
Decision: Poster
Title: Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
Authors: Aming Wu, Cheng Deng
Affiliations: School of Electronic Engineering, Xidian University, Xi'an, China
Conference: iclr 2024 (main track)
Keywords: Unsupervised out-of-distribution object detection; OOD data synthesis; Modulated phase diffusion
Decision: Poster
Title: Neural Optimal Transport with General Cost Functionals
Authors: Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev
Affiliations: Artificial Intelligence Research Institute, Skolkovo Institute of Science and Technology; Skolkovo Institute of Science and Technology; Artificial Intelligence Research Institute, Moscow Institute of Physics and Technology; HSE University; Skolkovo Institute of Science and Technology, Artificial Intelligence Research Institute
Conference: iclr 2024 (main track)
Keywords: Optimal Transport;Neural Networks;Generative Modelling
Decision: Poster
Title: A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction
Authors: Dongyang Liu, Meina Kan, Shiguang Shan, Xilin CHEN
Affiliations: Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; University of Chinese Academy of Sciences; Peng Cheng Laboratory; Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; University of Chinese Academy of Sciences
Conference: iclr 2024 (main track)
Keywords: Vision Transformer;Token Reduction
Decision: Poster
Title: LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
Authors: Gunho Park, baeseong park, Minsub Kim, Sungjae Lee, Jeonghoon Kim, Beomseok Kwon, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
Affiliations: Pohang University of Science and Technology; NAVER Cloud
Conference: iclr 2024 (main track)
Keywords: Neural Network Quantization;Model Compression;Generative Language Model;Transformer;Deep Learning
Decision: Poster
Title: An Unforgeable Publicly Verifiable Watermark for Large Language Models
Authors: Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip Yu
Affiliations: The Chinese University of Hong Kong; University of Illinois at Chicago; The Hong Kong University of Science and Technology (Guangzhou); Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Watermark;Large Language Models;Model Security
Decision: Poster
Title: Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
Authors: Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Y Zou
Affiliations: Stanford University; Bocconi University
Conference: iclr 2024 (main track)
Keywords: llms;instruction tuning;safety
Decision: Poster
Title: Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models
Authors: Pablo Pernías, Dominic Rampas, Mats L. Richter, Christopher Pal, Marc Aubreville
Affiliations: LAION e.V.; Technische Hochschule Ingolstadt; Wand Technologies Inc., LAION e.V.; Polytechnique Montréal, Canada CIFAR AI Chair
Conference: iclr 2024 (main track)
Keywords: Latent Diffusion Model;Text-to-Image;Neural Architectures;Foundation Models
Decision: Oral
Title: Logical Languages Accepted by Transformer Encoders with Hard Attention
Authors: Pablo Barcelo, Alexander Kozachinskiy, Anthony W. Lin, Vladimir Podolskii
Affiliations: University of Kaiserslautern-Landau & Max-Planck Institute for Software Systems, Kaiserslautern, Germany; Tufts University, Medford, USA; IMFD and CENIA, Santiago, Chile; IMC, PUC Chile & IMFD Chile & CENIA, Santiago, Chile
Conference: iclr 2024 (main track)
Keywords: transformer encoders;languages;AC0;first order logic;linear temporal logic;counting terms;parity;majority
Decision: Poster
Title: OmniControl: Control Any Joint at Any Time for Human Motion Generation
Authors: Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, Huaizu Jiang
Affiliations: Stability AI; Northeastern University; Google Research
Conference: iclr 2024 (main track)
Keywords: 3D human motion generation;diffusion models;conditional generation
Decision: Poster
Title: Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
Authors: Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Affiliations: Stanford University; University of Illinois Urbana-Champaign; Microsoft Research; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: interpretability;factual errors;hallucinations;attention;large language models
Decision: Poster
Title: Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
Authors: Miao Xiong, Zhiyuan Hu, Xinyang Lu, YIFEI LI, Jie Fu, Junxian He, Bryan Hooi
Affiliations: National University of Singapore; The Hong Kong University of Science and Technology; École Polytechnique Fédérale de Lausanne
Conference: iclr 2024 (main track)
Keywords: uncertainty quantification;uncertainty estimation;calibration;failure prediction;large language models;black-box language models;LLM evaluation
Decision: Poster
Title: DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
Authors: Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Gong, Diyi Yang, Xing Xie
Affiliations: Stanford University; Duke University; Microsoft Research; Georgia Tech
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Evaluation;Data Contamination
Decision: Spotlight
Title: Confronting Reward Model Overoptimization with Constrained RLHF
Authors: Ted Moskovitz, Aaditya Singh, DJ Strouse, Tuomas Sandholm, Ruslan Salakhutdinov, Anca Dragan, Stephen McAleer
Affiliations: Carnegie Mellon University; University of California, Berkeley; Gatsby Unit, UCL; Google DeepMind; Gatsby Unit, UCLA
Conference: iclr 2024 (main track)
Keywords: rlhf;overoptimization;constrained RL
Decision: Spotlight
Title: Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
Authors: Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
Affiliations: National University of Singapore; University of Washington; Carnegie Mellon University; Allen Institute for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: Contextual Integrity;Privacy;Theory of Mind
Decision: Spotlight
Title: SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Authors: Chongyu Fan, Jiancheng Liu, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu
Affiliations: Michigan State University; IBM Research; Michigan State University, IBM Research; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: Machine unlearning;generative model;diffusion model;weight saliency
Decision: Spotlight
Title: Efficient Subgraph GNNs by Learning Effective Selection Policies
Authors: Beatrice Bevilacqua, Moshe Eliasof, Eli Meirom, Bruno Ribeiro, Haggai Maron
Affiliations: University of Cambridge; Purdue University; Technion & NVIDIA Research; NVIDIA Research
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Subgraphs;Expressive power;Sampling
Decision: Poster
Title: Generative Judge for Evaluating Alignment
Authors: Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, hai zhao, Pengfei Liu
Affiliations: New York University; Hong Kong Polytechnic University; Chinese Academy of Sciences; Shanghai Jiao Tong University, Shanghai Artificial Intelligence Laboratory; Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Generative;Evaluation;Alignment
Decision: Poster
Title: Dual Associated Encoder for Face Restoration
Authors: Yu-Ju Tsai, Yu-Lun Liu, Lu Qi, Kelvin Chan, Ming-Hsuan Yang
Affiliations: National Yang Ming Chiao Tung University; UC Merced and Google Research; UC Merced; Google Research
Conference: iclr 2024 (main track)
Keywords: Blind Face Restoration;Vector Quantization;Codebook Prior;Feature Encoding;Feature Representation
Decision: Poster
Title: Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
Authors: Jonas Seng, Matej Zečević, Devendra Singh Dhami, Kristian Kersting
Affiliations: Technical University of Darmstadt, Centre for Cognitive Science of TU Darmstadt, Hessian Center for AI (hessian.AI), German Center for Artificial Intelligence; Technical University of Darmstadt; Eindhoven University of Technology
Conference: iclr 2024 (main track)
Keywords: Directed Acyclic Graphs;Structure Learning
Decision: Poster
Title: ZeRO++: Extremely Efficient Collective Communication for Large Model Training
Authors: Guanhua Wang, Heyang Qin, Sam Jacobs, Xiaoxia (Shirley) Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
Affiliations: Microsoft DeepSpeed; Snowflake; University of Houston; OpenAI; University of Nevada, Reno
Conference: iclr 2024 (main track)
Keywords: low-precision LLM pretraining;2 bits;auto compression;low memory pretraining
Decision: Poster
Title: Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction
Authors: Thanh-Tung Le, Khai Nguyen, shanlin sun, Kun Han, Nhat Ho, Xiaohui Xie
Affiliations: University of California, Irvine; The University of Texas at Austin
Conference: iclr 2024 (main track)
Keywords: Mesh deformation;optimal transport;cortical surface reconstruction;computer vision;medical imaging.
Decision: Poster
Title: Language Model Beats Diffusion - Tokenizer is key to visual generation
Authors: Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David Ross, Lu Jiang
Affiliations: Google; Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: language model;diffusion model;video generation;visual tokenization
Decision: Poster
Title: Understanding Certified Training with Interval Bound Propagation
Authors: Yuhao Mao, Mark N Müller, Marc Fischer, Martin Vechev
Affiliations: Department of Computer Science, ETH Zürich, Switzerland
Conference: iclr 2024 (main track)
Keywords: Certified Robustness;Adversarial Robustness;Neural Network Verification;Certified Training
Decision: Poster
Title: DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
Authors: Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou
Affiliations: VCIP, School of Computer Science, Nankai University; Nankai International Advanced Research Institute (Shenzhen Futian)∗; VCIP, School of Computer Science, Nankai University; Nankai International Advanced Research Institute (Shenzhen Futian); National University of Defense Technology; VCIP, School of Computer Science, Nankai University
Conference: iclr 2024 (main track)
Keywords: RGB-D Semantic Segmentation
Decision: Poster
Title: Self-Supervised Dataset Distillation for Transfer Learning
Authors: Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Affiliations: KAIST; National University of Singapore
Conference: iclr 2024 (main track)
Keywords: Dataset Distillation;Self-supervised Learning;Kernel Ridge Regression
Decision: Poster
Title: VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
Authors: Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin CUI, Muhan Zhang, Jure Leskovec
Affiliations: Stanford University; Peking University; Ant Group
Conference: iclr 2024 (main track)
Keywords: Graph Knowledge Distillation;Efficient Graph Learning
Decision: Poster
Title: Active Retrosynthetic Planning Aware of Route Quality
Authors: Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu
Affiliations: Nanyang Technological University; Zhejiang University; Shanghai Institute for Advanced Study of Zhejiang University; City University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Retrosynthetic planning;route evaluation;reinforcement learning
Decision: Poster
Title: Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Authors: Federico Errica, Mathias Niepert
Affiliations: University of Stuttgart, Stuttgart, Germany; NEC Laboratories Europe, Heidelberg, Germany
Conference: iclr 2024 (main track)
Keywords: Deep Graph Networks;Graph Neural Networks;Bayesian Networks;Sum-Product Networks;Graph Representation Learning;Missing Data;Graph Classification;Weak Supervision
Decision: Poster
Title: Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Authors: Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà
Affiliations: Sapienza University of Rome; Ca’ Foscari University of Venice
Conference: iclr 2024 (main track)
Keywords: source separation;probabilistic diffusion models;music generation
Decision: Oral
Title: Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
Authors: Shanqi Liu, Dong Xing, Pengjie Gu, Bo An, Yong Liu, Xinrun Wang
Affiliations: Nanyang Technological University; Zhejiang University; Nanyang Technological University, Skywork AI, Singapore
Conference: iclr 2024 (main track)
Keywords: Multi-Agent Cooperation;Credit Assignment;Homogeneous and Heterogeneous Cooperative Tasks
Decision: Spotlight
Title: PhyloGFN: Phylogenetic inference with generative flow networks
Authors: MING YANG ZHOU, Zichao Yan, Elliot Layne, Nikolay Malkin, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio
Affiliations: McGill University; Université de Montréal, Mila; McGill University, Mila; McGill University, Université de Montréal, Mila
Conference: iclr 2024 (main track)
Keywords: Phylogenetic Inference;GFlowNets;Bayesian Inference;Deep Generative Modeling
Decision: Poster
Title: PolyVoice: Language Models for Speech to Speech Translation
Authors: Qianqian Dong, Zhiying Huang, Qiao Tian, Chen Xu, Tom Ko, yunlong zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun MA, Yuping Wang, Mingxuan Wang, Yuxuan Wang
Affiliations: ByteDance
Conference: iclr 2024 (main track)
Keywords: Speech-to-Speecn Translatiom;Audio Language Model;Voice Clone
Decision: Poster
Title: P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
Authors: Chuyu Zhang, Hui Ren, Xuming He
Affiliations: ShanghaiTech University, Shanghai, China; ShanghaiTech University, Shanghai, China; Lingang Laboratory, Shanghai, China; ShanghaiTech University, Shanghai, China; Shanghai Engineering Research Center of Intelligent Vision and Imaging, Shanghai, China
Conference: iclr 2024 (main track)
Keywords: deep imbalanced clustering;optimal transport
Decision: Poster
Title: Label-free Node Classification on Graphs with Large Language Models (LLMs)
Authors: Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
Affiliations: Amazon.com; Michigan State University; Emory University
Conference: iclr 2024 (main track)
Keywords: Node classification;Graph Neural Networks;Large Language Models
Decision: Poster
Title: Adaptive Window Pruning for Efficient Local Motion Deblurring
Authors: Haoying Li, Jixin Zhao, Shangchen Zhou, Huajun Feng, Chongyi Li, Chen Change Loy
Affiliations: S-Lab, Nanyang Technological University, Singapore; Zhejiang University, China; Nankai University, China
Conference: iclr 2024 (main track)
Keywords: Local motion deblurring;transformer;deep learning
Decision: Poster
Title: True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
Authors: Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
Affiliations: Zhejiang University; Nanyang Technological University, Singapore & Skywork AI; Nanyang Technological University, Singapore
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Large Language Models;Parameter-Efficient Fine-Tuning
Decision: Poster
Title: Contrastive Learning is Spectral Clustering on Similarity Graph
Authors: Yifan Zhang, Zhiquan Tan, Jingqin Yang, Yang Yuan
Affiliations: Department of Mathematical Sciences, Tsinghua University; IIIS, Tsinghua University, Shanghai Artificial Intelligence Laboratory, Shanghai Qizhi Institute; IIIS, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: contrastive learning theory;self-supervised learning theory;representation learning theory;CLIP;multi-modal learning theory;markov random field;kernel method
Decision: Poster
Title: Lemur: Harmonizing Natural Language and Code for Language Agents
Authors: Yiheng Xu, Hongjin SU, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu
Affiliations: University of Hong Kong; XLang Lab; University of Washington; Sea AI Lab; MIT CSAIL; Salesforce Research
Conference: iclr 2024 (main track)
Keywords: large language model;agent;code generation;reasoning;decision making
Decision: Spotlight
Title: Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning
Authors: Maxime Wabartha, Joelle Pineau
Affiliations: McGill University, Mila, FAIR at Meta; McGill University, Mila
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning;interpretability;control;navigation;transparency;discrete
Decision: Poster
Title: Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
Authors: Siqi Zhang, Sayantan Choudhury, Sebastian Stich, Nicolas Loizou
Affiliations: CISPA Helmholtz Center for Information Security; AMS & MINDS, Johns Hopkins University
Conference: iclr 2024 (main track)
Keywords: Federated Learning;Variational Inequality;Minimax Optimization;Communication Complexity
Decision: Poster
Title: Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
Authors: LU YU, Avetik Karagulyan, Arnak Dalalyan
Affiliations: KAUST; CREST, ENSAE, IP Paris
Conference: iclr 2024 (main track)
Keywords: Markov Chain Monte Carlo;Kinetic Langevin;Langevin algorithm;Midpoint method;Mixing rate
Decision: Poster
Title: Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Authors: Murtaza Dalal, Tarun Chiruvolu, Devendra Singh Chaplot, Ruslan Salakhutdinov
Affiliations: Mistral AI; Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Long-horizon robot learning;reinforcement learning;LLMs
Decision: Poster
Title: Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Authors: Akari Asai, Zeqiu Wu, Yizhong Wang, Avi Sil, Hannaneh Hajishirzi
Affiliations: University of Washington; University of Washington, Allen Institute for AI; IBM Research AI
Conference: iclr 2024 (main track)
Keywords: Retrieval-augmented Generation;Language Models;Retrieval-augmented LMs;Factuality
Decision: Oral
Title: Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
Authors: Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson
Affiliations: Princeton University; Virginia Tech; IBM Research
Conference: iclr 2024 (main track)
Keywords: AI Safety;Large Language Models;Fine-tuning;Jailbreaking;AI Alignment
Decision: Oral
Title: Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
Authors: Rujie Wu, Xiaojian Ma, Qing Li, Zhenliang Zhang, Wei Wang, Song-Chun Zhu, Yizhou Wang
Affiliations: National Key Laboratory of General Artificial Intelligence, BIGAI; School of Computer Science, Peking University; School of Intelligence Science and Technology, Peking University
Conference: iclr 2024 (main track)
Keywords: Few-shot learning;Visual reasoning;Open world learning
Decision: Poster
Title: FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
Authors: Kai Yi, Nidham Gazagnadou, Peter Richtarik, Lingjuan Lyu
Affiliations: KAUST; Sony AI
Conference: iclr 2024 (main track)
Keywords: Network Pruning;Federated Learning;Model Heterogeneity
Decision: Poster
Title: Kosmos-G: Generating Images in Context with Multimodal Large Language Models
Authors: Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei
Affiliations: Microsoft Research, New York University; Microsoft Research; University of Waterloo
Conference: iclr 2024 (main track)
Keywords: Diffusion Models;Vision-Language;Multimodal Large Language Model;Image Generation;Subject-Driven Generation
Decision: Poster