Papers
REAP: Enhancing RAG with Recursive Evaluation and Adaptive Planning for Multi-Hop Question Answering
Yijie Zhu, Haojie Zhou, Wanting Hong et al.
Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering
Yihua Zhu, Qianying Liu, Akiko Aizawa et al.
Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging
Qiyuan Zhu, Dezhi Li, Lujun Li et al.
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
Qiuyu Zhu, Liang Zhang, Qianxiong Xu et al.
In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback
Mingye Zhu, Yi Liu, Zheren Fu et al.
Evaluating, Synthesizing, and Enhancing for Customer Support Conversation
Jie Zhu, Huaixia Dou, Junhui Li et al.
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
Zhilun Zhou, Zihan Liu, Jiahe Liu et al.
AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora
Zhihan Zhou, Daqian Shi, Rui Song et al.
Do Retrieval Augmented Language Models Know When They Don’t Know?
Youchao Zhou, Heyan Huang, Yicheng Liu et al.
Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes
Yang Zhou, Zhenting Sheng, Mingrui Tan et al.
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
Siyi Zhou, Yiquan Zhou, Yi He et al.
What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles
Mengtao Zhou, Sifan Wu, Huan Zhang et al.
STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models
Jingjing Zhou, Gaoxiang Cong, Li Su et al.
DIFFA: Large Language Diffusion Models Can Listen and Understand
Jiaming Zhou, Hongjie Chen, Shiwan Zhao et al.
LLM Collaborative Filtering: User-Item Graph as New Language
Huachi Zhou, Yujing Zhang, Hao Chen et al.
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.