Xingxuan Li (李星漩)

Ph.D. Candidate
NTU-NLP Lab, Nanyang Technological University
Language Technology Lab, DAMO Academy, Alibaba Group

Contact: xingxuan001 [at] ntu.edu.sg
More about me: Google Scholar / GitHub / LinkedIn

Recent Preprints [* denotes equal contribution]

• How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library
  Mathieu Ravaut*, Bosheng Ding*, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty
  arXiv:2404.00699 [paper] [data&code]
• ParaICL: Towards Robust Parallel In-Context Learning
  Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing
  arXiv:2404.00570 [paper]
• ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
  Hailin Chen*, Fangkai Jiao*, Xingxuan Li*, Chengwei Qin*, Mathieu Ravaut*, Ruochen Zhao*, Caiming Xiong, Shafiq Joty
  arXiv:2311.16989 [paper]
• Unlocking Temporal Question Answering for Large Language Models Using Code Execution
  Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing.
  arXiv:2305.15014 [paper]
• Does GPT-3 Demonstrate Psychopathy? Evaluating Large Language Models from a Psychological Perspective
  Xingxuan Li, Yutong Li, Shafiq Joty, Linlin Liu, Fei Huang, Lin Qiu, Lidong Bing.
  arXiv:2212.10529 [paper]

Selected Publications [* denotes equal contribution]

• Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
  Xingxuan Li*, Ruochen Zhao*, Yew Ken Chia*, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing.
  ICLR 2024 [paper] [data&code]
• Retrieving Multimodal Information for Augmented Generation: A Survey
  Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty.
  EMNLP 2023 Findings [paper]
• Is GPT-4 a Good Data Analyst?
  Liying Cheng, Xingxuan Li, Lidong Bing.
  EMNLP 2023 Findings [paper] [data&code]
• Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
  Ruochen Zhao*, Xingxuan Li*, Shafiq Joty, Chengwei Qin, Lidong Bing.
  ACL 2023 [paper] [data&code]
• Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
  Linlin Liu*, Xingxuan Li*, Megh Thakkar, Xin Li, Lidong Bing, Shafiq Joty, Luo Si.
  ACL 2023 [paper] [data&code]
• YEDDA: A Lightweight Collaborative Text Span Annotation Tool
  Jie Yang, Yue Zhang, Linwei Li, Xingxuan Li.
  ACL 2018 [paper] [data&code]
  Best Demo Paper Nomination