Papers
Reinforcement Learning Enhanced Muti-hop Reasoning for Temporal Knowledge Question Answering
Wuzhenghong Wen, Chao Xue, Su Pan et al.
MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
Shengtao Wen, Haodong Chen, Yadong Wang et al.
AdaMCoT: Rethinking Cross-Lingual Factual Reasoning Through Adaptive Multilingual Chain-of-Thought
Zheng Weihua, Xin Huang, Zhengyuan Liu et al.
Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference
Yangbo Wei, Zhen Huang, Shaoqiang Lu et al.
Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning
Xiaolong Wei, Yuehu Dong, Xingliang Wang et al.
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
Wenda Wei, Yu-An Liu, Ruqing Zhang et al.
MovieGraph-ToM: Evaluating Long-Range Theory of Mind in Large Language Models via Implicit Social-Causal Graphs
Tingjiang Wei, Qin Ni, Rong Gao et al.
MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains
Kaiwen Wei, Rui Shan, Dongsheng Zou et al.
AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale
Ziyang Wang, Yuanlei Zheng, Zhenbiao Cao et al.
SheetBrain: A Neuro-Symbolic Agent for Accurate Reasoning over Complex and Large Spreadsheets
Ziwei Wang, Jiayuan Su, Mengyu Zhou et al.
Knowledge Boundary Discovery for Large Language Models
Ziquan Wang, Zhongqi Lu
Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization
Zijian Wang, Yanxiang Ma, Chang Xu
MetaEval: Measuring the Discrimination of Benchmarks for Efficient LLM Evaluation
Zhuo Wang, Wen Wu, Guoqing Wang et al.
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
Zhiyuan Wang, Jinhao Duan, Qingni Wang et al.
CP-Search: A Chain Progressive Search Training Framework Incentivizing the Cognitive Behaviors for Searching in LLMs
Zehua Wang, Shipeng Li, Buzhou Tang
Multi-level Style Preference Optimization: An Adaptive Detection Framework for Human-Machine Hybrid Text
Zehao Wang, Lianwei Wu, Wenbo An et al.
BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
Yuhao Wang, Ruiyang Ren, Yucheng Wang et al.
DualSpeechLM: Towards Unified Speech Understanding and Generation via Dual Speech Token Modeling with Large Language Models
Yuanyuan Wang, Dongchao Yang, Yiwen Shao et al.
Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation
Yuan Wang, Shujian Gao, Jiaxiang Liu et al.
OptScale: Probabilistic Optimality for Inference-time Scaling
Youkang Wang, Jian Wang, Rubing Chen et al.
REFO: Reinforced Evolutionary Faithfulness Optimization for Large Language Models
Yi Wang, Xiaqiang Tang, Keyu Hu et al.
Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
Xinyuan Wang, Dongjie Wang, Wangyang Ying et al.
DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering
Xinyi Wang, Yiping Song, Zhiliang Tian et al.
Hallucination as a Computational Boundary: A Hierarchy of Inevitability and the Oracle Escape
Xi Wang, Quan Shi, Zenghui Ding et al.
A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models
Wenkai Wang, Hongcan Guo, Zheqi Lv et al.