YEDDA: A Lightweight Collaborative Text Span Annotation Tool. - Jie Yang 039; Yue Zhang 004; Linwei Li; Xingxuan Li (ACL (4), 2018)

Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective. - Xingxuan Li; Yutong Li; Linlin Liu; Lidong Bing; Shafiq R. Joty (CoRR, 2022)

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. - Linlin Liu; Xingxuan Li; Megh Thakkar; Xin Li 056; Shafiq Joty; Luo Si; Lidong Bing (ACL (1), 2023)

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. - Ruochen Zhao; Xingxuan Li; Shafiq Joty; Chengwei Qin; Lidong Bing (ACL (1), 2023)

Is GPT-4 a Good Data Analyst? - Liying Cheng; Xingxuan Li; Lidong Bing (EMNLP (Findings), 2023)

Retrieving Multimodal Information for Augmented Generation: A Survey. - Ruochen Zhao; Hailin Chen; Weishi Wang; Fangkai Jiao; Do Xuan Long; Chengwei Qin; Bosheng Ding; Xiaobao Guo; Minzhi Li; Xingxuan Li; Shafiq Joty (EMNLP (Findings), 2023)

Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines. - Ruochen Zhao; Xingxuan Li; Yew Ken Chia; Bosheng Ding; Lidong Bing (CoRR, 2023)

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. - Xingxuan Li; Ruochen Zhao; Yew Ken Chia; Bosheng Ding; Lidong Bing; Shafiq R. Joty; Soujanya Poria (CoRR, 2023)

Unlocking Temporal Question Answering for Large Language Models Using Code Execution. - Xingxuan Li; Liying Cheng; Qingyu Tan; Hwee Tou Ng; Shafiq Joty; Lidong Bing (CoRR, 2023)

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 (CoRR, 2023)

Evaluating Psychological Safety of Large Language Models. - Xingxuan Li; Yutong Li; Lin Qiu; Shafiq Joty; Lidong Bing (EMNLP, 2024)

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)

IAS-FET: An intelligent assistant system and an online platform for enhancing successful rate of in-vitro fertilization embryo transfer technology based on clinical features. - Ying Ma; Bowen Zhang; Zhaoqing Liu; Yujie Liu; Jiarui Wang; Xingxuan Li; Fan Feng; Yali Ni; Shuyan Li (Comput. Methods Programs Biomed., 2024)

ParaICL: Towards Robust Parallel In-Context Learning. - Xingxuan Li; Xuan-Phi Nguyen; Shafiq Joty; Lidong Bing (CoRR, 2024)

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 (CoRR, 2024)

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 007; Yifei Xin; Ronghao Dang; Deli Zhao; Yu Rong; et al. (CoRR, 2024)

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 (ACL (1), 2025)

ParaICL: Towards Parallel In-Context Learning. - Xingxuan Li; Xuan-Phi Nguyen; Shafiq Joty; Lidong Bing (NAACL (Long Papers), 2025)

A Comprehensive Survey of Contamination Detection Methods in Large Language Models. - Mathieu Ravaut; Bosheng Ding; Fangkai Jiao; Hailin Chen; Xingxuan Li; Ruochen Zhao; Chengwei Qin; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs. - Juncheng Wu; Wenlong Deng; Xingxuan Li; Sheng Liu; Taomian Mi; Yifan Peng 002; Ziyang Xu; Yi Liu 059; Hyunjin Cho; Changin Choi; Yihan Cao; Hui Ren 001; et al. (CoRR, 2025)

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models. - Chong Zhang; Yue Deng 010; Xiang Lin; Bin Wang; Dianwen Ng; Hai Ye; Xingxuan Li; Yao Xiao; Zhanfeng Mo; Qi Zhang 001; Lidong Bing (CoRR, 2025)

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization. - Xingxuan Li; Yao Xiao; Dianwen Ng; Hai Ye; Yue Deng 010; Xiang Lin; Bin Wang; Zhanfeng Mo; Chong Zhang; Yueyi Zhang; Zonglin Yang 001; Ruilin Li; et al. (CoRR, 2025)