Improving Question Generation With to the Point Context. - Jingjing Li 007; Yifan Gao 001; Lidong Bing; Irwin King; Michael R. Lyu (EMNLP/IJCNLP (1), 2019)

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. - Yifan Gao 001; Chien-Sheng Wu; Jingjing Li 007; Shafiq R. Joty; Steven C. H. Hoi; Caiming Xiong; Irwin King; Michael R. Lyu (EMNLP (1), 2020)

Unsupervised Text Generation by Learning from Search. - Jingjing Li 007; Zichao Li 001; Lili Mou; Xin Jiang 002; Michael R. Lyu; Irwin King (NeurIPS, 2020)

Open-Retrieval Conversational Machine Reading. - Yifan Gao 001; Jingjing Li 007; Michael R. Lyu; Irwin King (CoRR, 2021)

Text Revision By On-the-Fly Representation Optimization. - Jingjing Li 007; Zichao Li 003; Tao Ge 001; Irwin King; Michael R. Lyu (AAAI, 2022)

A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model. - Xin Sun 013; Tao Ge 001; Shuming Ma; Jingjing Li 007; Furu Wei; Houfeng Wang (IJCAI, 2022)

Graph Component Contrastive Learning for Concept Relatedness Estimation. - Yueen Ma 001; Zixing Song; Xuming Hu; Jingjing Li 007; Yifei Zhang; Irwin King (AAAI, 2023)

VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. - Yueen Ma 001; Dafeng Chi; Jingjing Li 007; Yuzheng Zhuang; Jianye Hao; Irwin King (CoRR, 2023)

A Survey of Text Watermarking in the Era of Large Language Models. - Aiwei Liu; Leyi Pan; Yijian Lu; Jingjing Li 007; Xuming Hu; Lijie Wen 001; Irwin King; Philip S. Yu (CoRR, 2023)

An Entropy-based Text Watermarking Detection Method. - Yijian Lu; Aiwei Liu; Dianzhi Yu; Jingjing Li 007; Irwin King (ACL (1), 2024)

SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation. - Minda Hu; Licheng Zong; Hongru Wang 003; Jingyan Zhou; Jingjing Li 007; Yichen Gao; Kam-Fai Wong; Yu Li 006; Irwin King (EMNLP (Findings), 2024)

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. - Zexuan Qiu; Jingjing Li 007; Shijue Huang; Xiaoqi Jiao; Wanjun Zhong; Irwin King (EMNLP (Findings), 2024)

VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder. - Yueen Ma 001; Dafeng Chi; Jingjing Li 007; Kai Song; Yuzheng Zhuang; Irwin King (NAACL-HLT (Findings), 2024)

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. - Zexuan Qiu; Jingjing Li 007; Shijue Huang; Wanjun Zhong; Irwin King (CoRR, 2024)

How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO. - Man Tik Ng; Hui Tung Tse; Jen-tse Huang 001; Jingjing Li 007; Wenxuan Wang 001; Michael R. Lyu (CoRR, 2024)

Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization. - Minda Hu; Licheng Zong; Hongru Wang 003; Jingyan Zhou; Jingjing Li 007; Yichen Gao; Kam-Fai Wong; Yu Li 006; Irwin King (CoRR, 2024)

Entropy-Based Decoding for Retrieval-Augmented Large Language Models. - Zexuan Qiu; Zijing Ou; Bin Wu 025; Jingjing Li 007; Aiwei Liu; Irwin King (NAACL (Long Papers), 2025)

A Survey of Text Watermarking in the Era of Large Language Models. - Aiwei Liu; Leyi Pan; Yijian Lu; Jingjing Li 007; Xuming Hu; Xi Zhang 008; Lijie Wen 001; Irwin King; Hui Xiong 001; Philip S. Yu (ACM Comput. Surv., 2025)