Embedding Syntactic Tree Structures into CNN Architecture for Relation Classification. - Feiliang Ren; Rongsheng Zhao; Xiao Hu; Yongcheng Li; Di Zhou; Cunxiang Wang (CCKS, 2017)

Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. - Cunxiang Wang; Shuailong Liang; Yue Zhang 004; Xiaonan Li; Tian Gao (ACL (1), 2019)

Domain Representation for Knowledge Graph Embedding. - Cunxiang Wang; Feiliang Ren; Zhichao Lin; Chenxu Zhao; Tian Xie; Yue Zhang 004 (NLPCC (1), 2019)

SemEval-2020 Task 4: Commonsense Validation and Explanation. - Cunxiang Wang; Shuailong Liang; Yili Jin 001; Yilong Wang 001; Xiaodan Zhu 001; Yue Zhang 004 (SemEval@COLING, 2020)

Commonsense Knowledge Graph Reasoning by Selection or Generation? Why? - Cunxiang Wang; Jinhang Wu; Luxin Liu; Yue Zhang 004 (CoRR, 2020)

Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? - Cunxiang Wang; Pai Liu; Yue Zhang 004 (ACL/IJCNLP (1), 2021)

Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. - Cunxiang Wang; Boyuan Zheng; Yuchen Niu; Yue Zhang 004 (NLPCC (1), 2021)

On Effectively Learning of Knowledge in Continual Pre-training. - Cunxiang Wang; Fuli Luo; Yanyang Li; Runxin Xu; Fei Huang 002; Yue Zhang 004 (CoRR, 2022)

Exploiting Abstract Meaning Representation for Open-Domain Question Answering. - Cunxiang Wang; Zhikun Xu; Qipeng Guo; Xiangkun Hu; Xuefeng Bai 001; Zheng Zhang 001; Yue Zhang 004 (ACL (Findings), 2023)

RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. - Cunxiang Wang; Haofei Yu; Yue Zhang 004 (ACL (Findings), 2023)

TRAMS: Training-free Memory Selection for Long-range Language Modeling. - Haofei Yu; Cunxiang Wang; Yue Zhang 004; Wei Bi (EMNLP (Findings), 2023)

Evaluating Open-QA Evaluation. - Cunxiang Wang; Sirui Cheng; Qipeng Guo; Yuanhao Yue; Bowen Ding; Zhikun Xu; Yidong Wang; Xiangkun Hu; Zheng Zhang; Yue Zhang (NeurIPS, 2023)

Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base. - Cunxiang Wang; Fuli Luo; Yanyang Li; Runxin Xu; Fei Huang 002; Yue Zhang 004 (NLPCC (2), 2023)

Evaluating Open Question Answering Evaluation. - Cunxiang Wang; Sirui Cheng; Zhikun Xu; Bowen Ding; Yidong Wang; Yue Zhang 004 (CoRR, 2023)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; Shikun Zhang; et al. (CoRR, 2023)

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. - Cunxiang Wang; Xiaoze Liu; Yuanhao Yue; Xiangru Tang; Tianhang Zhang; Cheng Jiayang; Yunzhi Yao; Wenyang Gao; Xuming Hu; Zehan Qi; Yidong Wang; Linyi Yang; et al. (CoRR, 2023)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. - Xiaoze Liu; Ting Sun 004; Tianyang Xu; Feijie Wu; Cunxiang Wang; Xiaoqian Wang 001; Jing Gao 004 (EMNLP, 2024)

LONG²RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall. - Zehan Qi; Rongwu Xu; Zhijiang Guo; Cunxiang Wang; Hao Zhang; Wei Xu 039 (EMNLP (Findings), 2024)

Knowledge Conflicts for LLMs: A Survey. - Rongwu Xu; Zehan Qi; Zhijiang Guo; Cunxiang Wang; Hongru Wang 003; Yue Zhang 004; Wei Xu 039 (EMNLP, 2024)

Nash CoT: Multi-Path Inference with Preference Equilibrium. - Ziqi Zhang; Cunxiang Wang; Xiao Xiong; Yue Zhang; Donglin Wang (EMNLP, 2024)

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. - Yidong Wang; Zhuohao Yu 001; Wenjin Yao; Zhengran Zeng; Linyi Yang; Cunxiang Wang; Hao Chen 102; Chaoya Jiang; Rui Xie 003; Jindong Wang 001; Xing Xie 001; Wei Ye 004; et al. (ICLR, 2024)

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. - Dongyu Ru; Lin Qiu; Xiangkun Hu; Tianhang Zhang; Peng Shi 010; Shuaichen Chang; Cheng Jiayang; Cunxiang Wang; Shichao Sun; Huanyu Li 010; Zizhao Zhang; Binjie Wang; et al. (NeurIPS, 2024)

Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions. - Hongru Wang 003; Boyang Xue; Baohang Zhou; Tianhua Zhang; Cunxiang Wang; Guanhua Chen 001; Huimin Wang; Kam-Fai Wong (CoRR, 2024)

SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning. - Hanchen Xia; Feng Jiang; Naihao Deng; Cunxiang Wang; Guojiang Zhao; Rada Mihalcea; Yue Zhang 004 (CoRR, 2024)

LLMs with Chain-of-Thought Are Non-Causal Reasoners. - Guangsheng Bao; Hongbo Zhang; Linyi Yang; Cunxiang Wang; Yue Zhang 004 (CoRR, 2024)

Knowledge Conflicts for LLMs: A Survey. - Rongwu Xu; Zehan Qi; Cunxiang Wang; Hongru Wang 003; Yue Zhang 004; Wei Xu 039 (CoRR, 2024)

NovelQA: A Benchmark for Long-Range Novel Question Answering. - Cunxiang Wang; Ruoxi Ning; Boqi Pan; Tonghui Wu; Qipeng Guo; Cheng Deng; Guangsheng Bao; Qian Wang; Yue Zhang (CoRR, 2024)

Nash CoT: Multi-Path Inference with Preference Equilibrium. - Ziqi Zhang; Cunxiang Wang; Xiong Xiao; Yue Zhang; Donglin Wang (CoRR, 2024)

Long2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall. - Zehan Qi; Rongwu Xu; Zhijiang Guo; Cunxiang Wang; Hao Zhang; Wei Xu 039 (CoRR, 2024)

A Survey on Evaluation of Large Language Models. - Yupeng Chang; Xu Wang; Jindong Wang 001; Yuan Wu 002; Linyi Yang; Kaijie Zhu; Hao Chen 102; Xiaoyuan Yi; Cunxiang Wang; Yidong Wang; Wei Ye 004; Yue Zhang 004; et al. (ACM Trans. Intell. Syst. Technol., 2024)

Training Language Model to Critique for Better Refinement. - Tianshu Yu 004; Chao Xiang; Mingchuan Yang; Pei Ke; Bosi Wen; Cunxiang Wang; Jiale Cheng; Li Zhang; Xinyu Mu; Chuxiong Sun; Minlie Huang (ACL (Findings), 2025)

LongSafety: Evaluating Long-Context Safety of Large Language Models. - Yida Lu; Jiale Cheng; Zhexin Zhang; Shiyao Cui; Cunxiang Wang; Xiaotao Gu; Yuxiao Dong; Jie Tang 001; Hongning Wang; Minlie Huang (ACL (1), 2025)

HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. - Bosi Wen; Pei Ke; Yufei Sun; Cunxiang Wang; Xiaotao Gu; Jinfeng Zhou; Jie Tang; Hongning Wang; Minlie Huang (ACL (Findings), 2025)

Unlocking Recursive Thinking of LLMs: Alignment via Refinement. - Haoke Zhang; Xiaobo Liang; Cunxiang Wang; Juntao Li; Min Zhang (ACL (Findings), 2025)

How Likely Do LLMs with CoT Mimic Human Reasoning? - Guangsheng Bao; Hongbo Zhang; Cunxiang Wang; Linyi Yang; Yue Zhang 004 (COLING, 2025)

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models. - Jiale Cheng; Xiao Liu 036; Cunxiang Wang; Xiaotao Gu; Yida Lu; Dan Zhang; Yuxiao Dong; Jie Tang 001; Hongning Wang; Minlie Huang (ICLR, 2025)

NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens. - Cunxiang Wang; Ruoxi Ning; Boqi Pan; Tonghui Wu; Qipeng Guo; Cheng Deng; Guangsheng Bao; Xiangkun Hu; Zheng Zhang 001; Qian Wang; Yue Zhang 004 (ICLR, 2025)

Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions. - Hongru Wang 003; Boyang Xue; Baohang Zhou; Tianhua Zhang; Cunxiang Wang; Huimin Wang; Guanhua Chen 001; Kam-Fai Wong (NAACL (Long Papers), 2025)

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. - Kaixin Wu; Yixin Ji; Zeyuan Chen; Qiang Wang; Cunxiang Wang; Hong Liu; Baijun Ji; Jia Xu 013; Zhongyi Liu; Jinjie Gu; Yuan Zhou; Linjian Mo (NAACL (Industry Track), 2025)

StepMathAgent: A Step-Wise Agent for Evaluating Mathematical Processes through Tree-of-Error. - Shuxun Yang; Cunxiang Wang; Yidong Wang; Xiaotao Gu; Minlie Huang; Jie Tang (CoRR, 2025)

Exploring the Evolution of Physics Cognition in Video Generation: A Survey. - Minghui Lin; Xiang Wang 012; Yishan Wang; Shu Wang; Fengqi Dai; Pengxiang Ding; Cunxiang Wang; Zhengrong Zuo; Nong Sang; Siteng Huang; Donglin Wang (CoRR, 2025)

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future. - Yidong Wang; Xin Wang; Cunxiang Wang; Junfeng Fang; Qiufeng Wang; Jianing Chu; Xuran Meng; Shuxun Yang; Libo Qin 001; Yue Zhang 004; Wei Ye 004; Shikun Zhang (CoRR, 2025)

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models. - Aohan Zeng; Xin Lv; Qinkai Zheng; Zhenyu Hou; Bin Chen; Chengxing Xie; Cunxiang Wang; Da Yin; Hao Zeng; Jiajie Zhang; Kedong Wang; Lucen Zhong; et al. (CoRR, 2025)

UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge. - Yang Zhang; Cunxiang Wang; Lindong Wu; Wenbo Yu; Yidong Wang; Guangsheng Bao; Jie Tang (CoRR, 2025)