| 2025 | ICLR | TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking. | Danqing Wang, Jianxin Ma, Fei Fang, Lei Li |
| 2025 | NAACL | Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation. | Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li |
| 2024 | EMNLP | Learning Personalized Alignment for Evaluating Open-ended Text Generation. | Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian |
| 2024 | KDD | Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. | Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li |
| 2023 | EMNLP | Learning from Mistakes via Cooperative Study Assistant for Large Language Models. | Danqing Wang, Lei Li |
| 2023 | EMNLP | INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. | Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li |
| 2023 | ICLR | On Pre-training Language Model for Antibody. | Danqing Wang, Fei Ye, Hao Zhou |
| 2023 | KDD | Accelerating Antimicrobial Peptide Discovery with Latent Structure. | Danqing Wang, Zeyu Wen, Fei Ye, Lei Li, Hao Zhou |
| 2022 | NAACL | MTG: A Benchmark Suite for Multilingual Text Generation. | Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li |
| 2021 | AAAI | Enhancing Scientific Papers Summarization with Citation Graph. | Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2021 | ACL | Contrastive Aligned Joint Learning for Multilingual Summarization. | Danqing Wang, Jiaze Chen, Hao Zhou, Xipeng Qiu, Lei Li |
| 2020 | ACL | Heterogeneous Graph Neural Networks for Extractive Document Summarization. | Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang |
| 2020 | ACL | Extractive Summarization as Text Matching. | Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2020 | EMNLP | An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. | Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2019 | ACL | Searching for Effective Neural Extractive Summarization: What Works and What's Next. | Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang |