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]

• Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
  Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing
  arXiv:2410.01428 [paper]
• Chain-of-Ideas: Revolutionizing Research via Novel Idea Development with LLM Agents
  Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Yu Rong, Deli Zhao, Tian Feng, Lidong Bing
  arXiv:2410.13185 [paper]
• 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]

Selected Publications [* denotes equal contribution]

• Evaluating Psychological Safety of Large Language Models
  Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing.
  EMNLP 2024 [paper] [data&code]
• SeaLLMs - Large Language Models for Southeast Asia
  Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing.
  ACL 2024 System Demostration Track [website]
• 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 System Demostration Track [paper] [data&code]
  Best Demo Paper Nomination