Publications | Danqing Wang

My research focuses on:

Large Language Models: More Intelligent, More Personalized, More Collaborative Go
AI for Drug: How to find new drugs and interprete AI-decision? Go
Text Summarization: Compression is intelligence! Concise & Faithful & Multilingual Go

Sorted by Year Sorted by Tags

Large Language Models: More Intelligent, More Personalized, More Collaborative

Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models Danqing Wang, Zhuorui Ye, Fei Fang, Lei Li Under submission
TypedThinker: Typed Thinking Improves Large Language Model Reasoning Danqing Wang, JianXin Ma, Fei Fang, Lei Li Preprint
Learning Personalized Alignment for Evaluating Open-ended Text Generation Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian Empirical Methods in Natural Language Processing (EMNLP), 2024
Learning from Mistakes via Cooperative Study Assistant for Large Language Models Danqing Wang, Lei Li Empirical Methods in Natural Language Processing (EMNLP), 2023
InstructScore: Towards Explainable Text Generation Evaluation with Automatic Feedback Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li Empirical Methods in Natural Language Processing (EMNLP), 2023
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023

AI for Science: How to find new drugs and interprete AI-decision?

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, William Yang Wang, Ambuj Singh, Lei Li 30th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD), 2024
On Pre-training Language Model for Antibody Danqing Wang, Fei Ye, Hao Zhou Eleventh International Conference on Learning Representations (ICLR), 2023
Accelerating Antimicrobial Peptide Discovery with Latent Structure Danqing Wang, Zeyu Wen, Fei Ye, Lei Li, Hao Zhou 29th ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD), 2023

Text Summarization: Compression is intelligence! Concise & Faithful & Multilingual

Contrastive Aligned Joint Learning for Multilingual Summarization Danqing Wang, Jiaze Chen, Hao Zhou, Xipeng Qiu, Lei Li Findings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) , 2021
CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei Li The 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2021
Heterogeneous Graph Neural Networks for Extractive Document Summarization Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang The 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Extractive Summarization as Text Matching Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang The 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Searching for Effective Neural Extractive Summarization: What Works and What's Next Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang The 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019*
Exploring Domain Shift in Extractive Text Summarization Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang arXiv preprint, 2019