Papers
HyperGLLM: An Efficient Framework for Endpoint Threat Detection via Hypergraph-Enhanced Large Language Models
Hongyi Zhou, Jianfeng Pan, Min Peng et al.
Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory
Hongli Zhou, Hui Huang, Ziqing Zhao et al.
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering
Wenlin Zhong, Chengyuan Liu, Yiquan Wu et al.
Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks
Wenliang Zhong, Haiqing Li, Thao M. Dang et al.
Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression
Zhewei Zhi, Yingyi Zhang, Yizhen Jing et al.
Graph-augmented and Over-smoothing-resistant Contrastive Clustering for Short Text
Zijian Zheng, Tao Ai, Yonghe Lu
Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning
Wuqiang Zheng, Yiyan Xu, Xinyu Lin et al.
M3UCD: A Multi-task Multimodal Metaphor Understanding Challenge Dataset for LLMs
Tianlong Zheng, Yating Yang, Rui Dong et al.
Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding
Rui-Chen Zheng, Wenrui Liu, Hui-Peng Du et al.
Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance
Lifan Zheng, Jiawei Chen, Qinghong Yin et al.
Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
Ziyi Zhao, Chongming Gao, Yang Zhang et al.
AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning
Xuyang Zhao, Shiwan Zhao, Hualong Yu et al.
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities
Weixiang Zhao, Xingyu Sui, Jiahe Guo et al.
MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation
Shengwei Zhao, Jingwen Yao, Sitong Wei et al.
Making Every Head Count: Sparse Attention Without the Speed-Performance Trade-off
Mingkuan Zhao, Wentao Hu, Jiayin Wang et al.
SABER: Switchable and Balanced Training for Efficient LLM Reasoning
Kai Zhao, Yanjun Zhao, Jiaming Song et al.
Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models
Jinman Zhao, Erxue Min, Hui Wu et al.
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning
Jian Zhao, Runze Liu, Kaiyan Zhang et al.
Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion
Dong Zhao, Yadong Wang, Xiang Chen et al.
TASE: Token Awareness and Structured Evaluation for Multilingual Language Models
Chenzhuo Zhao, Xinda Wang, Yue Huang et al.
When Instinct Guides and Insight Grounds: Staged RL Training for LLM Agents
Zijing Zhang, Boning Zhang
SCOPE: Intrinsic Semantic Space Control for Mitigating Copyright Infringement in LLMs
Zhenliang Zhang, Xinyu Hu, Xiaojun Wan
Syllogism-Inspired TableQA: Evidentialization Makes Decomposition Reasoning and Answer Verification More Reliable
Zhe Zhang, Lili Bai, Chaopeng Guo et al.
MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection
Yuanshuo Zhang, Aohua Li, Bo Chen et al.