Papers
When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents
Jiahe Guo, Xiangran Guo, Yulin Hu et al.
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models
Zirui Song, Qian Jiang, Mingxuan Cui et al.
CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs
Chaohui Guo, Michel C. A. Klein, Zhisheng Huang
Improving Long-Context Translation via Self-Supervised Dual Learning
Shanbo Cheng, Shuaijie She, Yu Bao et al.
Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning
Renliang Sun, Wei Cheng, Dawei Li et al.
SAM3-I: Segment Anything with Instructions
Jingjing Li, Yue Feng, Yuchen Guo et al.
Draft, Verify, Restore: Self-Refining Historical Inscription Restoration with a Unified MLLM
Yuyi Zhang, Junle Liu, Peirong Zhang et al.
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Jingcheng Hu, Yinmin Zhang, Shijie Shang et al.
PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents
Lei Wei, Xiao Peng, Tt et al.
LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models
Chenglin Wang, Yucheng Zhou, Shuang Chen et al.
Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression
Liang Zhao, Xiaocheng Feng, Weihong Zhong et al.
DR-Arena: an Automated Evaluation Framework for Deep Research Agents
Yiwen Gao, Ruochen Zhao, Yang Deng et al.
Enabling Agents to Communicate Entirely in Latent Space
Zhuoyun Du, Runze Wang, Huiyu Bai et al.
LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations
Viet Thanh Pham, Lizhen Qu, Thuy-Trang Vu et al.
Inertia in Moral and Value Judgments of Large Language Models
Bruce W. Lee, Yeongheon Lee, Hyunsoo Cho
Attention Weights as an Indicator: Analyzing and Improving Document Utilization in Retrieval-Augmented Generation
Jing Jin, Yuhan Song, Wen Luo et al.
Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs
Jinhui Chen, Shizhu He, Xingchang Yang et al.
Human or LLM as Standardized Patients? A Comparative Study in Medical Education
Bingquan Zhang, Xiaoxiao Liu, Yuchi Wang et al.
ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering
Yindong Zhang, Wenmian Yang, Yiquan Zhang et al.
Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?
Seonjeong Hwang, Hyounghun Kim, Gary Lee
CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection
Yihan Chen, Jiawei Chen, Guozhao Mo et al.
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
Zihao Wei, Liang Pang, Jiahao Liu et al.
A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM𝛥 Integration into Upcycled MoE
Hao Zhou, Tianhao Li, Zhijun Wang et al.
LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
Lihao Sun, Hang Dong, Bo Qiao et al.
Beyond Self-Report: Bridging the Intention-Behavior Gap in Critical Thinking Assessment via Interpretable Multi-Agent System
Zekun Li, Jifan Yu, Haoxuan Li et al.