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Danqing Wang
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2020 – today
- 2024
- [c15]Danqing Wang
, Antonis Antoniades
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. KDD 2024: 2991-3000 - [i17]Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li:
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. CoRR abs/2406.13869 (2024) - 2023
- [c14]Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li:
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. EMNLP 2023: 5967-5994 - [c13]Danqing Wang, Lei Li:
Learning from Mistakes via Cooperative Study Assistant for Large Language Models. EMNLP 2023: 10667-10685 - [c12]Danqing Wang, Fei Ye, Hao Zhou:
On Pre-training Language Model for Antibody. ICLR 2023 - [c11]Danqing Wang
Accelerating Antimicrobial Peptide Discovery with Latent Structure. KDD 2023: 2243-2255 - [c10]Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li:
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. NeurIPS 2023 - [i16]Danqing Wang, Fei Ye, Hao Zhou:
On Pre-trained Language Models for Antibody. CoRR abs/2301.12112 (2023) - [i15]Danqing Wang, Lei Li:
Learn from Mistakes through Cooperative Interaction with Study Assistant. CoRR abs/2305.13829 (2023) - [i14]Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li:
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. CoRR abs/2305.14282 (2023) - [i13]Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li:
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. CoRR abs/2305.14591 (2023) - [i12]Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian:
Learning Personalized Story Evaluation. CoRR abs/2310.03304 (2023) - [i11]Hanlin Zhu, Andrew Cohen, Danqing Wang, Kevin Yang, Xiaomeng Yang, Jiantao Jiao, Yuandong Tian:
End-to-end Story Plot Generator. CoRR abs/2310.08796 (2023) - 2022
- [c9]Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen
MTG: A Benchmark Suite for Multilingual Text Generation. NAACL-HLT (Findings) 2022: 2508-2527 - [i10]Danqing Wang, Zeyu Wen, Fei Ye, Hao Zhou, Lei Li:
Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model. CoRR abs/2212.09450 (2022) - 2021
- [c8]Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Enhancing Scientific Papers Summarization with Citation Graph. AAAI 2021: 12498-12506 - [c7]Danqing Wang, Jiaze Chen
Contrastive Aligned Joint Learning for Multilingual Summarization. ACL/IJCNLP (Findings) 2021: 2739-2750 - [c6]Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei Li:
CNewSum: A Large-Scale Summarization Dataset with Human-Annotated Adequacy and Deducibility Level. NLPCC (1) 2021: 389-400 - [i9]Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Enhancing Scientific Papers Summarization with Citation Graph. CoRR abs/2104.03057 (2021) - [i8]Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li:
MTG: A Benchmarking Suite for Multilingual Text Generation. CoRR abs/2108.07140 (2021) - [i7]Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei Li:
CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level. CoRR abs/2110.10874 (2021) - 2020
- [c5]Ming Zhong
Extractive Summarization as Text Matching. ACL 2020: 6197-6208 - [c4]Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang:
Heterogeneous Graph Neural Networks for Extractive Document Summarization. ACL 2020: 6209-6219 - [c3]Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. EMNLP (Findings) 2020: 3679-3691 - [i6]Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Extractive Summarization as Text Matching. CoRR abs/2004.08795 (2020) - [i5]Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang:
Heterogeneous Graph Neural Networks for Extractive Document Summarization. CoRR abs/2004.12393 (2020) - [i4]Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. CoRR abs/2010.05139 (2020)
2010 – 2019
- 2019
- [c2]Ming Zhong
Searching for Effective Neural Extractive Summarization: What Works and What's Next. ACL (1) 2019: 1049-1058 - [i3]Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Searching for Effective Neural Extractive Summarization: What Works and What's Next. CoRR abs/1907.03491 (2019) - [i2]Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang:
Exploring Domain Shift in Extractive Text Summarization. CoRR abs/1908.11664 (2019) - [i1]Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang:
A Closer Look at Data Bias in Neural Extractive Summarization Models. CoRR abs/1909.13705 (2019) - 2018
- [c1]Qian Liu, Danqing Wang, Hong Lu, Chaopeng Li:
Handwritten Chinese Character Recognition Based on Domain-Specific Knowledge. PCM (2) 2018: 221-231
Coauthor Index
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