Papers
MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
Xiaoyuan Li, Keqin Bao, Yubo Ma et al.
Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction
Tao Wu, Jingyuan Chen, Wang Lin et al.
Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule Interpolation
Huachen Qi, Ruiyu Zhuo, Bowen Shi et al.
Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
Yi Yu, Liuyi Yao, Yuexiang Xie et al.
LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases
Yida Cai, Ranjuexiao Hu, Huiyuan Xie et al.
TamEdit: Trajectory-Aware Meta-Learning for Specificity-Preserving Continual Knowledge Editing
Shiqiang Tian, Cheng Ding, Qin Chen et al.
METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues
Haofu Yang, Jiaji Liu, Chen Huang et al.
The GaoYao Benchmark: A Comprehensive Framework for Evaluating Multilingual and Multicultural Abilities of Large Language Models
Yilun Liu, Chunguang Zhao, Mengyao Piao et al.
AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images
Bo Zhang, Tzu-Yen Ma, Zichen Tang et al.
LEDOM: Reverse Language Model
Xunjian Yin, Sitao Cheng, Yuxi Xie et al.
Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
Yi Fang, Wenjie Wang, Mingfeng Xue et al.
SAME: Signer-Aware Mixture-of-Experts for Test-Time Adaptation in Sign Language Translation
Lujia Yang, Weicai Yan, Yongbo He et al.
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
Ming Zhang, Yujiong Shen, Jingyi Deng et al.
FlowSearch: Advancing Deep Research with Dynamic Structured Knowledge Flow
Yusong Hu, Runmin Ma, Yue Fan et al.
USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS
Baolin Zheng, Guanlin Chen, Qingyang Teng et al.
LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls
Kangning Zhang, Weiwen Liu, Wenxiang Jiao et al.
Probing the Safety Robustness of LLMs in Latent Space
Tianle Gu, Kexin Huang, Zongqi Wang et al.
Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression
Miao Lu, Weiwei Sun, Weihua Du et al.
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
Jie Cao, Tianwei Lin, Bo Yuan et al.
ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning
Jiani Huang, Shijie Wang, Liang-Bo Ning et al.
Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues
Muhammad Dehan Al Kautsar, Saeed Almheiri, Momina Ahsan et al.
ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis
Runkai Li, Jia Xiong, Xiuyuan He et al.
Retrieving to Recover: Towards Incomplete Audio-Visual Question Answering via Semantic-consistent Purification
Jiayu Zhang, Shuo Ye, Qilang Ye et al.
Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding
Wenkai Wang, Xiyun Li, Hongcan Guo et al.