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ORCIDDongfang Li 0002
Person information
- affiliation: Harbin Institute of Technology, Shenzhen, China
Other persons with the same name
- Dongfang Li — disambiguation page
- Dongfang Li 0001
![[0000-0001-9863-4172]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9863-4172")
— Fuzhou University, School of Electrical Engineering and Automation, China (and 2 more)
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2020 – today
- 2025
[c24]Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang:
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. AAAI 2025: 24413-24421- [c23]Xinping Zhao, Yan Zhong, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Dongfang Li, Baotian Hu, Min Zhang:
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. NAACL (Findings) 2025: 3029-3046 - [i29]Xinshuo Hu, Zifei Shan, Xinping Zhao, Zetian Sun, Zhenyu Liu, Dongfang Li, Shaolin Ye, Xinyuan Wei, Qian Chen, Baotian Hu, Haofen Wang, Jun Yu, Min Zhang:
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model. CoRR abs/2501.01028 (2025) - [i28]Zetian Sun, Dongfang Li, Baotian Hu, Jun Yu, Min Zhang:
Improving Value-based Process Verifier via Structural Prior Injection. CoRR abs/2502.17498 (2025) - [i27]Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang:
Take Off the Training Wheels Progressive In-Context Learning for Effective Alignment. CoRR abs/2503.09958 (2025) - [i26]Xinping Zhao, Xinshuo Hu, Zifei Shan, Shouzheng Huang, Yao Zhou, Zetian Sun, Zhenyu Liu, Dongfang Li, Xinyuan Wei, Qian Chen, Youcheng Pan, Yang Xiang, Meishan Zhang, Haofen Wang, Jun Yu, Baotian Hu, Min Zhang:
KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model. CoRR abs/2506.20923 (2025) - 2024
- [c22]Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang:
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. AAAI 2024: 18252-18260 - [c21]Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang:
Temporal Knowledge Question Answering via Abstract Reasoning Induction. ACL (1) 2024: 4872-4889 - [c20]Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang:
Improving Attributed Text Generation of Large Language Models via Preference Learning. ACL (Findings) 2024: 5079-5101 - [c19]Xinshuo Hu, Dongfang Li, Xiaoguang Li, Yuxiang Wu, Lifeng Shang, Baotian Hu:
Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. LREC/COLING 2024: 5202-5211 - [c18]Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang:
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment. EMNLP 2024: 2743-2757 - [c17]Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang:
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. EMNLP 2024: 3027-3041 - [c16]Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang:
In-Context Learning State Vector with Inner and Momentum Optimization. NeurIPS 2024 - [c15]Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang:
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection. NeurIPS 2024 - [i25]Xinshuo Hu, Baotian Hu, Dongfang Li, Xiaoguang Li, Lifeng Shang:
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. CoRR abs/2402.14488 (2024) - [i24]Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang:
SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection. CoRR abs/2402.16705 (2024) - [i23]Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang:
Improving Attributed Text Generation of Large Language Models via Preference Learning. CoRR abs/2403.18381 (2024) - [i22]Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang:
In-Context Learning State Vector with Inner and Momentum Optimization. CoRR abs/2404.11225 (2024) - [i21]Xinping Zhao, Yan Zhong, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Dongfang Li, Baotian Hu, Min Zhang:
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. CoRR abs/2410.10293 (2024) - [i20]Xinping Zhao, Jindi Yu, Zhenyu Liu, Jifang Wang, Dongfang Li, Yibin Chen, Baotian Hu, Min Zhang:
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion. CoRR abs/2410.10408 (2024) - [i19]Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang:
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. CoRR abs/2410.11315 (2024) - [i18]Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang:
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. CoRR abs/2412.07393 (2024) - 2023
- [c14]Dongfang Li, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang:
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination. EMNLP (Findings) 2023: 1922-1940 - [c13]Nengzheng Jin, Dongfang Li, Junying Chen, Joanna Siebert, Qingcai Chen:
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval. IJCNLP (2) 2023: 157-165 - [i17]Dongfang Li, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang:
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination. CoRR abs/2305.12945 (2023) - [i16]Xinshuo Hu, Dongfang Li, Zihao Zheng, Zhenyu Liu, Baotian Hu, Min Zhang:
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. CoRR abs/2308.08090 (2023) - [i15]Nengzheng Jin, Dongfang Li, Junying Chen, Joanna Siebert, Qingcai Chen:
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval. CoRR abs/2309.10506 (2023) - [i14]Dongfang Li, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Ziyang Chen, Baotian Hu, Aiguo Wu, Min Zhang:
A Survey of Large Language Models Attribution. CoRR abs/2311.03731 (2023) - [i13]Zhenran Xu, Senbao Shi, Baotian Hu, Jindi Yu, Dongfang Li, Min Zhang, Yuxiang Wu:
Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration. CoRR abs/2311.08152 (2023) - [i12]Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang:
Temporal Knowledge Question Answering via Abstract Reasoning Induction. CoRR abs/2311.09149 (2023) - [i11]Dongfang Li, Baotian Hu, Qingcai Chen, Shan He:
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training. CoRR abs/2312.17591 (2023) - 2022
- [c12]Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu:
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. AAAI 2022: 4432-4440 - [c11]Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang:
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. AAAI 2022: 10947-10955 - [c10]Nengzheng Jin, Joanna Siebert, Dongfang Li, Qingcai Chen:
A Survey on Table Question Answering: Recent Advances. CCKS 2022: 174-186 - [c9]Nengzheng Jin, Dongfang Li, Junying Chen, Yubin Qiu, Qingcai Chen:
Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain. CCKS (Evaluation Track) 2022: 214-220 - [c8]Dongfang Li, Baotian Hu, Qingcai Chen:
Prompt-based Text Entailment for Low-Resource Named Entity Recognition. COLING 2022: 1896-1903 - [c7]Dongfang Li, Baotian Hu, Qingcai Chen:
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates. EMNLP 2022: 2775-2784 - [i10]Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu, Dongfang Li, Sichao Chen, Xiaolong Wang:
MSDF: A General Open-Domain Multi-Skill Dialog Framework. CoRR abs/2206.08626 (2022) - [i9]Nengzheng Jin, Joanna Siebert, Dongfang Li, Qingcai Chen:
A Survey on Table Question Answering: Recent Advances. CoRR abs/2207.05270 (2022) - [i8]Dongfang Li, Baotian Hu, Qingcai Chen:
Prompt-based Text Entailment for Low-Resource Named Entity Recognition. CoRR abs/2211.03039 (2022) - [i7]Dongfang Li, Baotian Hu, Qingcai Chen:
Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates. CoRR abs/2211.03041 (2022) - [i6]Junying Chen, Qingcai Chen, Dongfang Li, Yutao Huang:
SeDR: Segment Representation Learning for Long Documents Dense Retrieval. CoRR abs/2211.10841 (2022) - 2021
- [j4]Dongfang Li, Baotian Hu, Qingcai Chen, Xiao Wang, Quanchang Qi, Liubin Wang, Haishan Liu:
Attentive capsule network for click-through rate and conversion rate prediction in online advertising. Knowl. Based Syst. 211: 106522 (2021) - [j3]Dongfang Li, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng, Qingcai Chen:
Drug knowledge discovery via multi-task learning and pre-trained models. BMC Medical Informatics Decis. Mak. 21-S(9): 251 (2021) - [j2]Yanghua Fan, Dongfang Li, Yifan Liu, Ming Feng, Qingcai Chen, Renzhi Wang:
Toward better prediction of recurrence for Cushing's disease: a factorization-machine based neural approach. Int. J. Mach. Learn. Cybern. 12(3): 625-633 (2021) - [c6]Anqi Wang, Qingcai Chen, Dongfang Li:
FHTC: Few-Shot Hierarchical Text Classification in Financial Domain. ICONIP (2) 2021: 657-668 - [c5]Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu, Dongfang Li, Sichao Chen, Xiaolong Wang:
MSDF: A General Open-Domain Multi-skill Dialog Framework. NLPCC (2) 2021: 365-376 - [i5]Dongfang Li, Jingcong Tao, Qingcai Chen, Baotian Hu:
You Can Do Better! If You Elaborate the Reason When Making Prediction. CoRR abs/2103.14919 (2021) - [i4]Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang:
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. CoRR abs/2112.10424 (2021) - [i3]Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu:
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. CoRR abs/2112.10433 (2021) - 2020
- [j1]Xin Liu, Qingcai Chen, Xiangping Wu, Yang Hua, Jing Chen, Dongfang Li, Buzhou Tang, Xiaolong Wang:
Gated Semantic Difference Based Sentence Semantic Equivalence Identification. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2770-2780 (2020) - [c4]Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang:
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text. EMNLP (1) 2020: 1427-1438
2010 – 2019
- 2019
- [c3]Dongfang Li, Ying Xiong, Baotian Hu, Hanyang Du, Buzhou Tang, Qingcai Chen:
Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning. BioNLP-OST@EMNLP-IJNCLP 2019: 72-76 - [c2]Dongfang Li, Qingcai Chen, Songjian Chen, Xin Liu, Buzhou Tang, Ben Tan:
Multi-strategies Method for Cold-Start Stage Question Matching of rQA Task. NLPCC (1) 2019: 29-41 - [i2]Dongfang Li, Yifei Yu, Qingcai Chen, Xinyu Li:
BERTSel: Answer Selection with Pre-trained Models. CoRR abs/1905.07588 (2019) - [i1]Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang:
Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework. CoRR abs/1912.00336 (2019) - 2018
- [c1]Xin Liu, Qingcai Chen, Chong Deng, Huajun Zeng, Jing Chen, Dongfang Li, Buzhou Tang:
LCQMC: A Large-scale Chinese Question Matching Corpus. COLING 2018: 1952-1962
Coauthor Index
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