Jingjing Li

According to our database, Jingjing Li authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey of Text Watermarking in the Era of Large Language Models.

Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu

ACM Comput. Surv., February, 2025

2024

Entropy-Based Decoding for Retrieval-Augmented Large Language Models.

Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King

CoRR, 2024

Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization.

Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, 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, Jingjing Li, Wenxuan Wang, Michael R. Lyu

CoRR, 2024

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models.

Zexuan Qiu, Jingjing Li, Shijue Huang, Wanjun Zhong, Irwin King

CoRR, 2024

VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder.

Yueen Ma, Dafeng Chi, Jingjing Li, Kai Song, Yuzheng Zhuang, Irwin King

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models.

Zexuan Qiu, Jingjing Li, Shijue Huang, Xiaoqi Jiao, Wanjun Zhong, Irwin King

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation.

Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

An Entropy-based Text Watermarking Detection Method.

Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

A Survey of Text Watermarking in the Era of Large Language Models.

Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

CoRR, 2023

VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder.

Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King

CoRR, 2023

Graph Component Contrastive Learning for Concept Relatedness Estimation.

Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model.

Xin Sun, Tao Ge, Shuming Ma, Jingjing Li, Furu Wei, Houfeng Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Text Revision By On-the-Fly Representation Optimization.

Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Open-Retrieval Conversational Machine Reading.

Yifan Gao, Jingjing Li, Michael R. Lyu, Irwin King

CoRR, 2021

2020

Unsupervised Text Generation by Learning from Search.

Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading.

Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Improving Question Generation With to the Point Context.

Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019