ICLR Papers
6,124 papers found • Page 7 of 123
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
Xiaogeng Liu, Peiran Li, G. Edward Suh et al.
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.
AutoG: Towards automatic graph construction from tabular data
Zhikai Chen, Han Xie, Jian Zhang et al.
Automated Design of Agentic Systems
Shengran Hu, Cong Lu, Jeff Clune
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models
Yongjin Yang, Sihyeon Kim, Hojung Jung et al.
Automated Proof Generation for Rust Code via Self-Evolution
Tianyu Chen, Shuai Lu, Shan Lu et al.
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao, Hanze Dong, Amrita Saha et al.
Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks
Rushang Karia, Daniel Bramblett, Daksh Dobhal et al.
Autoregressive Pretraining with Mamba in Vision
Sucheng Ren, Xianhang Li, Haoqin Tu et al.
Autoregressive Video Generation without Vector Quantization
Haoge Deng, Ting Pan, Haiwen Diao et al.
AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
Wei Dai, Jicong Fan
AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation
Yukang Cao, Liang Pan, Kai Han et al.
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
Kim Sung-Bin, Oh Hyun-Bin, Lee Jung-Mok et al.
A Visual Dive into Conditional Flow Matching
Anne Gagneux, Ségolène Martin, Rémi Emonet et al.
Avoid Overclaims: Summary of Complexity Bounds for Algorithms in Minimization and Minimax Optimization
Siqi Zhang, Yifan Hu
A Watermark for Order-Agnostic Language Models
Ruibo Chen, Yihan Wu, Yanshuo Chen et al.
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
Keyi Shen, Jiangwei Yu, Jose Barreiros et al.
Backdooring Vision-Language Models with Out-Of-Distribution Data
Weimin Lyu, Michael Yao, Saumya Gupta et al.
Backtracking Improves Generation Safety
Yiming Zhang, Jianfeng Chi, Hailey Nguyen et al.
BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge
Terry Tong, Fei Wang, Zhe Zhao et al.
Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning
Mingyuan Fan, Zhanyi Hu, Fuyi Wang et al.
BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
Hangtao Zhang, Chenyu Zhu, Xianlong Wang et al.
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
Julius Aka, Johannes Brunnemann, Jörg Eiden et al.
Balanced Ranking with Relative Centrality: A multi-core periphery perspective
Chandra Sekhar Mukherjee, Jiapeng Zhang
Balancing Act: Diversity and Consistency in Large Language Model Ensembles
Ahmed Abdulaal, Chen Jin, Nina Montaña-Brown et al.
Balancing Bias in Two-sided Markets for Fair Stable Matchings
Siyuan Wu, Leong Hou U, Panagiotis Karras
BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
Davide Paglieri, Bartłomiej Cupiał, Samuel Coward et al.
BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping
Aly Lidayan, Michael Dennis, Stuart Russell
Bandit Learning in Matching Markets with Indifference
Fang Kong, Jingqi Tang, Mingzhu Li et al.
BANGS: Game-theoretic Node Selection for Graph Self-Training
Fangxin Wang, Kay Liu, Sourav Medya et al.
Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression
Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin et al.
Bayesian Analysis of Combinatorial Gaussian Process Bandits
Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani
Bayesian Experimental Design Via Contrastive Diffusions
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez et al.
Bayesian Image Regression with Soft-thresholded Conditional Autoregressive Prior
Yuliang Xu, Jian Kang
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
Alan Amin, Nate Gruver, Yilun Kuang et al.
Bayesian Optimization via Continual Variational Last Layer Training
Paul Brunzema, Mikkel Jordahn, John Willes et al.
Bayesian Regularization of Latent Representation
Chukwudi Paul Obite, Zhi Chang, Keyan Wu et al.
Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli, Bernardo Grau
Bayesian WeakS-to-Strong from Text Classification to Generation
Ziyun Cui, Ziyang Zhang, Guangzhi Sun et al.
BBCaL: Black-box Backdoor Detection under the Causality Lens
Zihan Guan, Junfeng Guo, Mengxuan Hu et al.
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
Wesley Suttle, Aamodh Suresh, Carlos Nieto-Granda
Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms
Parham Rezaei, Farzan Farnia, Cheuk Ting Li
Benchmarking Agentic Workflow Generation
Shuofei Qiao, Runnan Fang, Zhisong Qiu et al.
Benchmarking LLMs' Judgments with No Gold Standard
Shengwei Xu, Yuxuan Lu, Grant Schoenebeck et al.
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent
Yangning Li, Yinghui Li, Xinyu Wang et al.
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti, Chang Qi, Oleh Lokshyn et al.
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Yingzi Ma, Jiongxiao Wang, Fei Wang et al.
Benign Overfitting in Out-of-Distribution Generalization of Linear Models
Shange Tang, Jiayun Wu, Jianqing Fan et al.
BenTo: Benchmark Reduction with In-Context Transferability
Hongyu Zhao, Ming Li, Lichao Sun et al.