Cunxiang Wang - RankMe

75 papers A* 9B 1Journal 48Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation. CoRR Yanzhi Tian, Cunxiang Wang, Zeming Liu, Heyan Huang, Wenbo Yu, Dawei Song, Jie Tang, Yuhang Guo
2026	J	`jnl`	DVD: A Robust Method for Detecting Variant Contamination in Large Language Model Evaluation. CoRR Renzhao Liang, Jingru Chen, Bo Jia, Bo Deng, Chenggang Xie, Yidong Wang, Ke Jin, Xin Wang, Linfeng Zhang, Cunxiang Wang
2026	J	`jnl`	IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation. CoRR Bosi Wen, Yilin Niu, Cunxiang Wang, Xiaoying Ling, Ying Zhang, Pei Ke, Hongning Wang, Minlie Huang
2026	J	`jnl`	MVSS: A Unified Framework for Multi-View Structured Survey Generation. CoRR Yinqi Liu, Yueqi Zhu, Yongkang Zhang, Xinfeng Li, Feiran Liu, Yufei Sun, Xin Wang, Renzhao Liang, Yidong Wang, Cunxiang Wang
2026	J	`jnl`	RAVEL: Reasoning Agents for Validating and Evaluating LLM Text Synthesis. CoRR Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo, Bosi Wen, Yidong Wang, Lin Fan, Yilin Zhou, Zikang Wang, Wenbo Yu, Lindong Wu, Hongning Wang, Minlie Huang
2026	J	`jnl`	RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models. CoRR Andrew Zhuoer Feng, Cunxiang Wang, Bosi Wen, Yidong Wang, Yu Luo, Hongning Wang, Minlie Huang
2026	J	`jnl`	Survey on Factuality in Large Language Models. ACM Comput. Surv. Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Xuming Hu, Zehan Qi, Wenyang Gao, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2026	J	`jnl`	TraceSIR: A Multi-Agent Framework for Structured Analysis and Reporting of Agentic Execution Traces. CoRR Shu-Xun Yang, Cunxiang Wang, Haoke Zhang, Wenbo Yu, Lindong Wu, Jiayi Gui, Dayong Yang, Yukuo Cen, Zhuoer Feng, Bosi Wen, Yidong Wang, Lucen Zhong, Jiamin Ren, Linfeng Zhang, Jie Tang
2026	A*	`conf`	UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge. AAAI Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang
2025	J	`jnl`	AudioMarathon: A Comprehensive Benchmark for Long-Context Audio Understanding and Efficiency in Audio LLMs. CoRR Peize He, Zichen Wen, Yubo Wang, Yuxuan Wang, Xiaoqian Liu, Jiajie Huang, Zehui Lei, Zhuangcheng Gu, Xiangqi Jin, Jiabing Yang, Kai Li, Zhifei Liu, Weijia Li, Cunxiang Wang, Conghui He, Linfeng Zhang
2025	—	`conf`	CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. NAACL (Industry Track) Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo
2025	J	`jnl`	Deep Literature Survey Automation with an Iterative Workflow. CoRR Hongbo Zhang, Han Cui, Yidong Wang, Yijian Tian, Qi Guo, Cunxiang Wang, Jian Wu, Chiyu Song, Yue Zhang
2025	J	`jnl`	Deep Research: A Systematic Survey. CoRR Zhengliang Shi, Yiqun Chen, Haitao Li, Weiwei Sun, Shiyu Ni, Yougang Lyu, Run-Ze Fan, Bowen Jin, Yixuan Weng, Minjun Zhu, Qiujie Xie, Xinyu Guo, Qu Yang, Jiayi Wu, Jujia Zhao, Xiaqiang Tang, Xinbei Ma, Cunxiang Wang, Jiaxin Mao, Qingyao Ai, Jen-tse Huang, Wenxuan Wang, Yue Zhang, Yiming Yang, Zhaopeng Tu, Zhaochun Ren
2025	J	`jnl`	Exploring the Evolution of Physics Cognition in Video Generation: A Survey. CoRR Minghui Lin, Xiang Wang, Yishan Wang, Shu Wang, Fengqi Dai, Pengxiang Ding, Cunxiang Wang, Zhengrong Zuo, Nong Sang, Siteng Huang, Donglin Wang
2025	—	`conf`	HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. ACL (Findings) Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang
2025	J	`jnl`	HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. CoRR Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang
2025	B	`conf`	How Likely Do LLMs with CoT Mimic Human Reasoning? COLING Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, Linyi Yang, Yue Zhang
2025	J	`jnl`	IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation. CoRR Bosi Wen, Yilin Niu, Cunxiang Wang, Pei Ke, Xiaoying Ling, Ying Zhang, Aohan Zeng, Hongning Wang, Minlie Huang
2025	—	`conf`	LongSafety: Evaluating Long-Context Safety of Large Language Models. ACL (1) Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
2025	J	`jnl`	LongSafety: Evaluating Long-Context Safety of Large Language Models. CoRR Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
2025	A*	`conf`	NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens. ICLR Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Xiangkun Hu, Zheng Zhang, Qian Wang, Yue Zhang
2025	J	`jnl`	Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data? CoRR Shaobo Wang, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang
2025	A*	`conf`	SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. ICLR Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
2025	—	`conf`	Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions. NAACL (Long Papers) Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Huimin Wang, Guanhua Chen, Kam-Fai Wong
2025	J	`jnl`	StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error. CoRR Shuxun Yang, Cunxiang Wang, Yidong Wang, Xiaotao Gu, Minlie Huang, Jie Tang
2025	J	`jnl`	Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future. CoRR Yidong Wang, Xin Wang, Cunxiang Wang, Junfeng Fang, Qiufeng Wang, Jianing Chu, Xuran Meng, Shuxun Yang, Libo Qin, Yue Zhang, Wei Ye, Shikun Zhang
2025	—	`conf`	Training Language Model to Critique for Better Refinement. ACL (Findings) Tianshu Yu, Chao Xiang, Mingchuan Yang, Pei Ke, Bosi Wen, Cunxiang Wang, Jiale Cheng, Li Zhang, Xinyu Mu, Chuxiong Sun, Minlie Huang
2025	J	`jnl`	Training Language Model to Critique for Better Refinement. CoRR Tianshu Yu, Chao Xiang, Mingchuan Yang, Pei Ke, Bosi Wen, Cunxiang Wang, Jiale Cheng, Li Zhang, Xinyu Mu, Chuxiong Sun, Minlie Huang
2025	J	`jnl`	TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them. CoRR Yidong Wang, Yunze Song, Tingyuan Zhu, Xuanwang Zhang, Zhuohao Yu, Hao Chen, Chiyu Song, Qiufeng Wang, Cunxiang Wang, Zhen Wu, Xinyu Dai, Yue Zhang, Wei Ye, Shikun Zhang
2025	J	`jnl`	UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge. CoRR Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang
2025	—	`conf`	Unlocking Recursive Thinking of LLMs: Alignment via Refinement. ACL (Findings) Haoke Zhang, Xiaobo Liang, Cunxiang Wang, Juntao Li, Min Zhang
2025	J	`jnl`	Unlocking Recursive Thinking of LLMs: Alignment via Refinement. CoRR Haoke Zhang, Xiaobo Liang, Cunxiang Wang, Juntao Li, Min Zhang
2024	J	`jnl`	A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2024	J	`jnl`	CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. CoRR Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo
2024	A*	`conf`	Knowledge Conflicts for LLMs: A Survey. EMNLP Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu
2024	J	`jnl`	Knowledge Conflicts for LLMs: A Survey. CoRR Rongwu Xu, Zehan Qi, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu
2024	J	`jnl`	LLMs with Chain-of-Thought Are Non-Causal Reasoners. CoRR Guangsheng Bao, Hongbo Zhang, Linyi Yang, Cunxiang Wang, Yue Zhang
2024	—	`conf`	LONG²RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall. EMNLP (Findings) Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu
2024	J	`jnl`	Long CoRR Zehan Qi, Rongwu Xu, Zhijiang Guo, Cunxiang Wang, Hao Zhang, Wei Xu
2024	A*	`conf`	Nash CoT: Multi-Path Inference with Preference Equilibrium. EMNLP Ziqi Zhang, Cunxiang Wang, Xiao Xiong, Yue Zhang, Donglin Wang
2024	J	`jnl`	Nash CoT: Multi-Path Inference with Preference Equilibrium. CoRR Ziqi Zhang, Cunxiang Wang, Xiong Xiao, Yue Zhang, Donglin Wang
2024	J	`jnl`	NovelQA: A Benchmark for Long-Range Novel Question Answering. CoRR Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang
2024	A*	`conf`	PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2024	A*	`conf`	RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. NeurIPS Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang
2024	J	`jnl`	RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. CoRR Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang
2024	A*	`conf`	SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. EMNLP Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao
2024	J	`jnl`	SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. CoRR Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao
2024	J	`jnl`	SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. CoRR Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang
2024	J	`jnl`	SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning. CoRR Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao, Rada Mihalcea, Yue Zhang
2024	J	`jnl`	Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions. CoRR Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-Fai Wong
2023	J	`jnl`	A Survey on Evaluation of Large Language Models. CoRR Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2023	J	`jnl`	Evaluating Open Question Answering Evaluation. CoRR Cunxiang Wang, Sirui Cheng, Zhikun Xu, Bowen Ding, Yidong Wang, Yue Zhang
2023	A*	`conf`	Evaluating Open-QA Evaluation. NeurIPS Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang
2023	—	`conf`	Exploiting Abstract Meaning Representation for Open-Domain Question Answering. ACL (Findings) Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
2023	J	`jnl`	Exploiting Abstract Meaning Representation for Open-Domain Question Answering. CoRR Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
2023	—	`conf`	Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base. NLPCC (2) Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang
2023	J	`jnl`	PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2023	—	`conf`	RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. ACL (Findings) Cunxiang Wang, Haofei Yu, Yue Zhang
2023	J	`jnl`	RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. CoRR Cunxiang Wang, Haofei Yu, Yue Zhang
2023	J	`jnl`	Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2023	—	`conf`	TRAMS: Training-free Memory Selection for Long-range Language Modeling. EMNLP (Findings) Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi
2023	J	`jnl`	TRAMS: Training-free Memory Selection for Long-range Language Modeling. CoRR Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi
2022	J	`jnl`	On Effectively Learning of Knowledge in Continual Pre-training. CoRR Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang
2021	—	`conf`	Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? ACL/IJCNLP (1) Cunxiang Wang, Pai Liu, Yue Zhang
2021	J	`jnl`	Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA? CoRR Cunxiang Wang, Pai Liu, Yue Zhang
2021	—	`conf`	Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. NLPCC (1) Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang
2021	J	`jnl`	Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. CoRR Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang
2020	J	`jnl`	Commonsense Knowledge Graph Reasoning by Selection or Generation? Why? CoRR Cunxiang Wang, Jinhang Wu, Luxin Liu, Yue Zhang
2020	—	`conf`	SemEval-2020 Task 4: Commonsense Validation and Explanation. SemEval@COLING Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang
2020	J	`jnl`	SemEval-2020 Task 4: Commonsense Validation and Explanation. CoRR Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang
2019	J	`jnl`	Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation. CoRR Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao
2019	—	`conf`	Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. ACL (1) Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao
2019	—	`conf`	Domain Representation for Knowledge Graph Embedding. NLPCC (1) Cunxiang Wang, Feiliang Ren, Zhichao Lin, Chenxu Zhao, Tian Xie, Yue Zhang
2019	J	`jnl`	Domain Representation for Knowledge Graph Embedding. CoRR Cunxiang Wang, Yue Zhang, Feiliang Ren, Chenxu Zhao, Zhichao Lin, Tian Xie
2017	—	`conf`	Embedding Syntactic Tree Structures into CNN Architecture for Relation Classification. CCKS Feiliang Ren, Rongsheng Zhao, Xiao Hu, Yongcheng Li, Di Zhou, Cunxiang Wang