Publications

Xinda Jia, Jinpeng Li, Zezhong Wang, Jingjing Li, Xingshan Zeng, Yasheng Wang, Weinan Zhang, Yong Yu, Weiwen Liu. Fast, Slow, and Tool-augmented Thinking for LLMs: A Review. Frontiers of Computer Science (FCS), 2026.

Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King. Entropy-Based Decoding for Retrieval-Augmented Large Language Models. NAACL, 2025.

Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King. SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation. Findings of EMNLP, 2024.

Zexuan Qiu, Jingjing Li, Shijue Huang, Xiaoqi Jiao, Wanjun Zhong, Irwin King. CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. Findings of EMNLP, 2024.

Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu. A Survey of Text Watermarking in the Era of Large Language Models. ACM Computing Surveys, 2024.

Man Tik Ng, Hui Tung Tse, Jen-Tse Huang, Jingjing Li, Wenxuan Wang, Michael R Lyu. How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO. arXiv, 2024.

Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu. Text Revision by On-the-Fly Representation Optimization. AAAI, 2022.

Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King. Unsupervised Text Generation by Learning from Search. NeurIPS, 2020.

Jingjing Li, Yifan Gao*, Lidong Bing, Irwin King, Michael R. Lyu. Improving Question Generation With to the Point Context. EMNLP-IJCNLP, 2019.