Full publication list can be found in Google Scholar.

Reasoning and Planning in 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
CoPlanner

ThinkHub: Enhancing Large Language Models with Implicit Policy and Explicit Knowledge

Danqing Wang, JianXin Ma, Lei Li
Under submission
ThinkHub

Learning Personalized Alignment for Evaluating Open-ended Text Generation

Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian
arXiv preprint, 2023
PerSE

Learning from Mistakes via Cooperative Study Assistant for Large Language Models

Danqing Wang, Lei Li
Empirical Methods in Natural Language Processing (EMNLP), 2023
SALAM

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
Instructscore

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
ATUE

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
RLHEX

On Pre-training Language Model for Antibody

Danqing Wang, Fei Ye, Hao Zhou
Eleventh International Conference on Learning Representations (ICLR), 2023

ATUE

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

LSSAMP

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

CALMS

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

CNewSum

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

HSG

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