Cunxiang Wang

According to our database, Cunxiang Wang authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Knowledge Conflicts for LLMs: A Survey.

Rongwu Xu, Zehan Qi, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu

CoRR, 2024

LLMs with Chain-of-Thought Are Non-Causal Reasoners.

Guangsheng Bao, Hongbo Zhang, Linyi Yang, Cunxiang Wang, Yue Zhang

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

CoRR, 2024

Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions.

Hongru Wang, Boyang Xue, Baohang Zhou, Tianhua Zhang, Cunxiang Wang, Guanhua Chen, Huimin Wang, Kam-Fai Wong

CoRR, 2024

2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

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

CoRR, 2023

A Survey on Evaluation of Large Language Models.

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

CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

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

CoRR, 2023

Evaluating Open Question Answering Evaluation.

Cunxiang Wang, Sirui Cheng, Zhikun Xu, Bowen Ding, Yidong Wang, Yue Zhang

CoRR, 2023

Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base.

Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TRAMS: Training-free Memory Selection for Long-range Language Modeling.

Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering.

Cunxiang Wang, Haofei Yu, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Exploiting Abstract Meaning Representation for Open-Domain Question Answering.

Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

On Effectively Learning of Knowledge in Continual Pre-training.

Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang, Yue Zhang

CoRR, 2022

2021

Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning.

Cunxiang Wang, Boyuan Zheng, Yuchen Niu, Yue Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?

Cunxiang Wang, Pai Liu, Yue Zhang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?

Cunxiang Wang, Jinhang Wu, Luxin Liu, Yue Zhang

CoRR, 2020

SemEval-2020 Task 4: Commonsense Validation and Explanation.

Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019

Domain Representation for Knowledge Graph Embedding.

Cunxiang Wang, Feiliang Ren, Zhichao Lin, Chenxu Zhao, Tian Xie, Yue Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation.

Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Embedding Syntactic Tree Structures into CNN Architecture for Relation Classification.

Feiliang Ren, Rongsheng Zhao, Xiao Hu, Yongcheng Li, Di Zhou, Cunxiang Wang

Proceedings of the Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence, 2017