Papers
Medical Vision–Language Pretraining with LLM-Guided Temporal Supervision
Liang Bai, Zhi Wang, Huimin Yan et al.
Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners
Heyan Huang, Yizhe Yang, Huashan Sun et al.
Optimized Algorithms for Text Clustering with LLM-Generated Constraints
Chaoqi Jia, Weihong Wu, Longkun Guo et al.
M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting
Shuning Jia, Baijun Song, Canming Ye et al.
DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation
Jiajun Jiao, Haowei Zhu, Puyuan Yang et al.
GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs
Jiaji Ma, Puja Trivedi, Danai Koutra
LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
Xiaoxu Ma, Dong Li, Minglai Shao et al.
VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping
Guojun Xiong, Milind Tambe
Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios
Zhuohao Yu, Zhe Liu, Tao Ren et al.
QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation
Xinguo Zhu, Shaohui Peng, Jiaming Guo et al.
Simulating Dispute Mediation with LLM-Based Agents for Legal Research
Junjie Chen, Haitao Li, Minghao Qin et al.
Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments
Jinwei Hu, Yi Dong, Youcheng Sun et al.
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
Chunjiang Mu, Ya Zeng, Qiaosheng Zhang et al.
An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling
Lixiu Wu, Yuanrong Tang, Qisen Pan et al.
Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS
Bingyu Yan, Xiaoming Zhang, Ziyi Zhou et al.
SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
Ruijia Zhang, Xinyan Zhao, Ruixiang Wang et al.
OptiHive: Ensemble Selection for LLM-Based Optimization via Statistical Modeling
Maxime Bouscary, Saurabh Amin
Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment
Lei Chen, Tengteng Cheng, BoYu Gao et al.
What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study
Xiaoran Fan, Zhichao Sun, Yangfan Gao et al.
Think-J: Learning to Think for Generative LLM-as-a-Judge
Hui Huang, Yancheng He, Hongli Zhou et al.
RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems
Mengfan Li, Xuanhua Shi, Yang Deng
From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation
Qingchuan Li, Mingyue Cheng, Zirui Liu et al.
Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates
Shuaimin Li, Liyang Fan, Yufang Lin et al.
SafeNLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces
Ruiheng Liu, Xiaobing Chen, Jinyu Zhang et al.