CodeQA: A Question Answering Dataset for Source Code Comprehension. - Chenxiao Liu; Xiaojun Wan 001 (EMNLP (Findings), 2021)

Evaluator for Emotionally Consistent Chatbots. - Chenxiao Liu; Guanzhi Deng; Tao Ji; Difei Tang; Silai Zheng (CoRR, 2021)

Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing. - Yifan Hao 001; Yongwei Zhao; Chenxiao Liu; Zidong Du; Shuyao Cheng; Xiaqing Li; Xing Hu 001; Qi Guo 001; Zhiwei Xu 002; Tianshi Chen 002 (MICRO, 2022)

Code Execution with Pre-trained Language Models. - Chenxiao Liu; Shuai Lu; Weizhu Chen; Daxin Jiang; Alexey Svyatkovskiy; Shengyu Fu; Neel Sundaresan; Nan Duan (ACL (Findings), 2023)

Context-Focused Prompt Tuning Pre-Trained Code Models to Improve Code Summarization. - Xinglu Pan; Chenxiao Liu; Yanzhen Zou; Xianlin Zhao; Bing Xie (COMPSAC, 2024)

MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation. - Xinglu Pan; Chenxiao Liu; Yanzhen Zou; Tao Xie 001; Bing Xie (ICPC, 2024)

Speak From Heart: An Emotion-Guided LLM-Based Multimodal Method for Emotional Dialogue Generation. - Chenxiao Liu; Zheyong Xie; Sirui Zhao; Jin Zhou; Tong Xu 001; Minglei Li 001; Enhong Chen (ICMR, 2024)

Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling. - Shihan Dou; Jiayi Chen; Chenhao Huang; Feng Chen 042; Wei Chengzhi; Huiyuan Zheng; Shichun Liu; Yan Liu 002; Chenxiao Liu; Chao Xin; Lin Yan; Zongzhang Zhang; et al. (ACL (1), 2025)

EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving. - Shihan Dou; Ming Zhang 030; Chenhao Huang; Jiayi Chen; Feng Chen 042; Shichun Liu; Yan Liu 002; Chenxiao Liu; Cheng Zhong; Zongzhang Zhang; Tao Gui; Chao Xin; et al. (CoRR, 2025)