Cunxiang Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Graph Embedding

Question Answering

Top Venues

Publications

Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang
NovelQA: A Benchmark for Long-Range Novel Question Answering. CoRR (2024)
Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. CoRR (2024)
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
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR (2024)
Rongwu Xu, Zehan Qi, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu
Knowledge Conflicts for LLMs: A Survey. CoRR (2024)
Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao, Rada Mihalcea, Yue Zhang
SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning. CoRR (2024)
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
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Ziqi Zhang, Cunxiang Wang, Xiong Xiao, Yue Zhang, Donglin Wang
Nash CoT: Multi-Path Inference with Preference Equilibrium. CoRR (2024)
Guangsheng Bao, Hongbo Zhang, Linyi Yang, Cunxiang Wang, Yue Zhang
LLMs with Chain-of-Thought Are Non-Causal Reasoners. CoRR (2024)
Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-Fai Wong
Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions. CoRR (2024)
Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi
TRAMS: Training-free Memory Selection for Long-range Language Modeling. CoRR (2023)
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. CoRR (2023)
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. ACL (Findings) (2023)
Cunxiang Wang, Haofei Yu, Yue Zhang
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. CoRR (2023)
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
A Survey on Evaluation of Large Language Models. CoRR (2023)
Cunxiang Wang, Haofei Yu, Yue Zhang
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. ACL (Findings) (2023)
Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Jiayang Cheng, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR (2023)
Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang
Evaluating Open-QA Evaluation. NeurIPS (2023)
Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi
TRAMS: Training-free Memory Selection for Long-range Language Modeling. EMNLP (Findings) (2023)
Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang
Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base. NLPCC (2) (2023)
Cunxiang Wang, Sirui Cheng, Zhikun Xu, Bowen Ding, Yidong Wang, Yue Zhang
Evaluating Open Question Answering Evaluation. CoRR (2023)
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
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR (2023)
Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang
On Effectively Learning of Knowledge in Continual Pre-training. CoRR (2022)
Cunxiang Wang, Pai Liu, Yue Zhang
Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA? CoRR (2021)
Cunxiang Wang, Pai Liu, Yue Zhang
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA? ACL/IJCNLP (1) (2021)
Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang
Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. NLPCC (1) (2021)
Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang
Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning. CoRR (2021)
Cunxiang Wang, Jinhang Wu, Luxin Liu, Yue Zhang
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why? CoRR (2020)
Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang
SemEval-2020 Task 4: Commonsense Validation and Explanation. SemEval@COLING (2020)
Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang
SemEval-2020 Task 4: Commonsense Validation and Explanation. CoRR (2020)
Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation. CoRR (2019)
Cunxiang Wang, Feiliang Ren, Zhichao Lin, Chenxu Zhao, Tian Xie, Yue Zhang
Domain Representation for Knowledge Graph Embedding. NLPCC (1) (2019)
Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao
Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. ACL (1) (2019)
Cunxiang Wang, Yue Zhang, Feiliang Ren, Chenxu Zhao, Zhichao Lin, Tian Xie
Domain Representation for Knowledge Graph Embedding. CoRR (2019)
Feiliang Ren, Rongsheng Zhao, Xiao Hu, Yongcheng Li, Di Zhou, Cunxiang Wang
Embedding Syntactic Tree Structures into CNN Architecture for Relation Classification. CCKS (2017)