Cunxiang Wang PhD Student School of Engineering Westlake University Zhejiang, China, 310013 Email: wangcunxiang AT westlake.edu.cn, wangcunxiang AT foxmail.com (Attention: If you previously tried to contact me but encountered issues with the email address, please reach out again. I apologize for any inconvenience and look forward to connecting with you)

Biography

I am a Ph.D. candidate at Zhejiang University & Westlake University joint Ph.D. program, located in Hangzhou, China. I am fortunately supervised by Prof. Yue Zhang, WestlakeNLP Lab.

My research primarily focuses on Large Language Models and Retrieval, especially Retrieval-Augmented LLMs Generation and LLM-Augmented Retriever.

Till now, I have authored 20+ papers, including 13 first/co-first author papers, with 4 published in ACL, 1 in Neurips and 1 in EMNLP, 1 in Semeval Task Track, 3 in NLPCC and 3 in submission. I have also got the Best Task Paper Award Honorable Mention at Semeval2020 as the first author.

News

Education

• Westlake University & Zhejiang University Co-PhD Promgram
  Aug, 2019 - Jun, 2024 (Expected)
  
  Ph.D candidate
  Supervisor: Yue Zhang
  Degree Granted By: Zhejiang University
  
• Dept. of Computer Science and Technology, Northeastern University, Shenyang
  Sep, 2015 - Jul, 2019
  
  Undergraduate student.
  Interned at Northeastern NLP Lab, 2016-2019, advised by Prof. Feiliang Ren
  

Experience

• Amazon AWS AI
  March, 2022 - now
  
  Research Intern
  Mentor: Qipeng Guo and Zheng Zhang
  

Selected Publications (As First / Co-First Author) [Google Scholar] [Semantic Scholar]

* indicates co-first author.

2024

• NovelQA: A Benchmark for Long-Range Novel Question Answering [pdf][Github Page]
  Cunxiang Wang*, Ruoxi Ning*, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang.

  2023

• Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity [pdf][Github Page]
  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 and Yue Zhang.
• Evaluating Open-QA Evaluation.
  Neurips-2023 Dataset and Benchmark Track. Average Score: 7.0. [pdf][codes and data]
  Cunxiang Wang*, Sirui Cheng*, Qipeng Guo, Zhikun Xu, Bowen Ding, Yunhao Yun, Yidong Wang, Xiangkun Hu, Zheng Zhang and Yue Zhang.
• Exploiting Abstract Meaning Representation for Open-Domain Question Answering. [pdf][codes and data].
  ACL-2023 findings, reviewer scores: 4, 4, 4 out of 5.
  Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang and Yue Zhang.
• RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering. [pdf][code and data].
  ACL-2023 findings, reviewer scores: 4, 4, 3 out of 5.
  Cunxiang Wang*, Haofei Yu* and Yue Zhang.
• Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base. [pdf][code and data].
  CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-2023).
  Cunxiang Wang, Fuli Luo, Yanyang Li, Runxin Xu, Fei Huang and Yue Zhang.
• TRAMS: Training-free Memory Selection for Long-range Language Modeling. [pdf][codes and data].
  EMNLP-2023 findings, reviewer scores: 4, 4, 3 out of 5.
  Haofei Yu*, Cunxiang Wang*, Yue Zhang and Wei Bi.

  2021

• Exploring Generalization Ability of Pretrained Language Models on Arithmetic and Logical Reasoning [pdf][data].
  CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-2021)
  Cunxiang Wang*, Boyuan Zheng*, Yuchen Niu and Yue Zhang.
• Can Generative Pre-trained Language Models Serve as Knowledge Bases for Closed-book QA? [pdf][codes and data].
  ACL-2021
  Cunxiang Wang*, Pai Liu*, Yue Zhang.

  2020

• SemEval-2020 task 4: Commonsense Validation and Explanation [pdf][codes and data].
  Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval-2020).
  Cunxiang Wang*, Shuailong Liang*, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang.
• Commonsense Knowledge Graph Reasoning by Selection or Generation? Why? arxiv [pdf].
  Cunxiang Wang, Jinhang Wu, Luxin Liu and Yue Zhang.

  2019

• Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation. [pdf][codes and data].
  ACL-2019
  Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li and Tian Gao.
• Domain Representation for Knowledge Graph Embedding. [pdf][codes and data].
  CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-2019).
  Cunxiang Wang, Feiliang Ren, Chenxu Zhao, ZhiChao Lin, Tian Xie and Yue Zhang.