Dongfang Li - RankMe

67 papers A* 10B 2Journal 40Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning. CoRR Zhuoen Chen, Dongfang Li, Meishan Zhang, Baotian Hu, Min Zhang
2026	A*	`conf`	Improving Value-based Process Verifier via Low-Cost Variance Reduction. AAAI Zetian Sun, Dongfang Li, Baotian Hu, Min Zhang
2026	J	`jnl`	LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing. CoRR Dongfang Li, Zixuan Liu, Gang Lin, Baotian Hu, Min Zhang
2026	J	`jnl`	LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding. CoRR Gang Lin, Dongfang Li, Zhuoen Chen, Yukun Shi, Xuhui Chen, Baotian Hu, Min Zhang
2026	J	`jnl`	Structured Episodic Event Memory. CoRR Zhengxuan Lu, Dongfang Li, Yukun Shi, Beilun Wang, Longyue Wang, Baotian Hu
2025	A*	`conf`	CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. AAAI Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang
2025	J	`jnl`	Diversity First, Quality Later: A Two-Stage Assumption for Language Model Alignment. CoRR Zetian Sun, Dongfang Li, Baotian Hu
2025	—	`conf`	FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. NAACL (Findings) Xinping Zhao, Yan Zhong, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Dongfang Li, Baotian Hu, Min Zhang
2025	J	`jnl`	Improving Value-based Process Verifier via Low-Cost Variance Reduction. CoRR Zetian Sun, Dongfang Li, Baotian Hu, Min Zhang
2025	J	`jnl`	Improving Value-based Process Verifier via Structural Prior Injection. CoRR Zetian Sun, Dongfang Li, Baotian Hu, Jun Yu, Min Zhang
2025	J	`jnl`	KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model. CoRR 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
2025	J	`jnl`	KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model. CoRR 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
2025	J	`jnl`	Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards. CoRR Zetian Sun, Dongfang Li, Zhuoen Chen, Yuhuai Qin, Baotian Hu
2025	J	`jnl`	Take Off the Training Wheels Progressive In-Context Learning for Effective Alignment. CoRR Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang
2024	J	`jnl`	CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. CoRR Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang
2024	—	`conf`	Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. LREC/COLING Xinshuo Hu, Dongfang Li, Xiaoguang Li, Yuxiang Wu, Lifeng Shang, Baotian Hu
2024	J	`jnl`	Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. CoRR Xinshuo Hu, Baotian Hu, Dongfang Li, Xiaoguang Li, Lifeng Shang
2024	J	`jnl`	FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. CoRR Xinping Zhao, Yan Zhong, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Dongfang Li, Baotian Hu, Min Zhang
2024	—	`conf`	Improving Attributed Text Generation of Large Language Models via Preference Learning. ACL (Findings) Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang
2024	J	`jnl`	Improving Attributed Text Generation of Large Language Models via Preference Learning. CoRR Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang
2024	A*	`conf`	In-Context Learning State Vector with Inner and Momentum Optimization. NeurIPS Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang
2024	J	`jnl`	In-Context Learning State Vector with Inner and Momentum Optimization. CoRR Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang
2024	—	`conf`	Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion. EMNLP (System Demonstrations) Xinping Zhao, Jindi Yu, Zhenyu Liu, Jifang Wang, Dongfang Li, Yibin Chen, Baotian Hu, Min Zhang
2024	J	`jnl`	Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion. CoRR Xinping Zhao, Jindi Yu, Zhenyu Liu, Jifang Wang, Dongfang Li, Yibin Chen, Baotian Hu, Min Zhang
2024	A*	`conf`	SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. EMNLP Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang
2024	J	`jnl`	SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. CoRR Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang
2024	A*	`conf`	SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection. NeurIPS Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang
2024	J	`jnl`	SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection. CoRR Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang
2024	A*	`conf`	Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. AAAI Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang
2024	A*	`conf`	Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment. EMNLP Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang
2024	—	`conf`	Temporal Knowledge Question Answering via Abstract Reasoning Induction. ACL (1) Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang
2024	—	`conf`	TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution. EMNLP (System Demonstrations) Dongfang Li, Xinshuo Hu, Zetian Sun, Baotian Hu, Shaolin Ye, Zifei Shan, Qian Chen, Min Zhang
2023	J	`jnl`	A Survey of Large Language Models Attribution. CoRR Dongfang Li, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Ziyang Chen, Baotian Hu, Aiguo Wu, Min Zhang
2023	—	`conf`	Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval. IJCNLP (2) Nengzheng Jin, Dongfang Li, Junying Chen, Joanna Siebert, Qingcai Chen
2023	J	`jnl`	Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval. CoRR Nengzheng Jin, Dongfang Li, Junying Chen, Joanna Siebert, Qingcai Chen
2023	—	`conf`	ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination. EMNLP (Findings) Dongfang Li, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang
2023	J	`jnl`	ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination. CoRR Dongfang Li, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang
2023	J	`jnl`	Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. CoRR Xinshuo Hu, Dongfang Li, Zihao Zheng, Zhenyu Liu, Baotian Hu, Min Zhang
2023	J	`jnl`	Temporal Knowledge Question Answering via Abstract Reasoning Induction. CoRR Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang
2023	J	`jnl`	Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training. CoRR Dongfang Li, Baotian Hu, Qingcai Chen, Shan He
2023	J	`jnl`	Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration. CoRR Zhenran Xu, Senbao Shi, Baotian Hu, Jindi Yu, Dongfang Li, Min Zhang, Yuxiang Wu
2022	—	`conf`	A Survey on Table Question Answering: Recent Advances. CCKS Nengzheng Jin, Joanna Siebert, Dongfang Li, Qingcai Chen
2022	J	`jnl`	A Survey on Table Question Answering: Recent Advances. CoRR Nengzheng Jin, Joanna Siebert, Dongfang Li, Qingcai Chen
2022	A*	`conf`	Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates. EMNLP Dongfang Li, Baotian Hu, Qingcai Chen
2022	J	`jnl`	Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates. CoRR Dongfang Li, Baotian Hu, Qingcai Chen
2022	A*	`conf`	Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. AAAI Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu
2022	J	`jnl`	MSDF: A General Open-Domain Multi-Skill Dialog Framework. CoRR Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu, Dongfang Li, Sichao Chen, Xiaolong Wang
2022	B	`conf`	Prompt-based Text Entailment for Low-Resource Named Entity Recognition. COLING Dongfang Li, Baotian Hu, Qingcai Chen
2022	J	`jnl`	Prompt-based Text Entailment for Low-Resource Named Entity Recognition. CoRR Dongfang Li, Baotian Hu, Qingcai Chen
2022	—	`conf`	Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain. CCKS (Evaluation Track) Nengzheng Jin, Dongfang Li, Junying Chen, Yubin Qiu, Qingcai Chen
2022	J	`jnl`	SeDR: Segment Representation Learning for Long Documents Dense Retrieval. CoRR Junying Chen, Qingcai Chen, Dongfang Li, Yutao Huang
2022	A*	`conf`	Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. AAAI Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang
2021	J	`jnl`	Attentive capsule network for click-through rate and conversion rate prediction in online advertising. Knowl. Based Syst. Dongfang Li, Baotian Hu, Qingcai Chen, Xiao Wang, Quanchang Qi, Liubin Wang, Haishan Liu
2021	J	`jnl`	Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. CoRR Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu
2021	J	`jnl`	Drug knowledge discovery via multi-task learning and pre-trained models. BMC Medical Informatics Decis. Mak. Dongfang Li, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng, Qingcai Chen
2021	—	`conf`	FHTC: Few-Shot Hierarchical Text Classification in Financial Domain. ICONIP (2) Anqi Wang, Qingcai Chen, Dongfang Li
2021	—	`conf`	MSDF: A General Open-Domain Multi-skill Dialog Framework. NLPCC (2) Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu, Dongfang Li, Sichao Chen, Xiaolong Wang
2021	J	`jnl`	Toward better prediction of recurrence for Cushing's disease: a factorization-machine based neural approach. Int. J. Mach. Learn. Cybern. Yanghua Fan, Dongfang Li, Yifan Liu, Ming Feng, Qingcai Chen, Renzhi Wang
2021	J	`jnl`	Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. CoRR Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang
2021	J	`jnl`	You Can Do Better! If You Elaborate the Reason When Making Prediction. CoRR Dongfang Li, Jingcong Tao, Qingcai Chen, Baotian Hu
2020	J	`jnl`	Gated Semantic Difference Based Sentence Semantic Equivalence Identification. IEEE ACM Trans. Audio Speech Lang. Process. Xin Liu, Qingcai Chen, Xiangping Wu, Yang Hua, Jing Chen, Dongfang Li, Buzhou Tang, Xiaolong Wang
2020	—	`conf`	Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text. EMNLP (1) Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang
2019	J	`jnl`	BERTSel: Answer Selection with Pre-trained Models. CoRR Dongfang Li, Yifei Yu, Qingcai Chen, Xinyu Li
2019	J	`jnl`	Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework. CoRR Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang
2019	—	`conf`	Multi-strategies Method for Cold-Start Stage Question Matching of rQA Task. NLPCC (1) Dongfang Li, Qingcai Chen, Songjian Chen, Xin Liu, Buzhou Tang, Ben Tan
2019	—	`conf`	Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning. BioNLP-OST@EMNLP-IJNCLP Dongfang Li, Ying Xiong, Baotian Hu, Hanyang Du, Buzhou Tang, Qingcai Chen
2018	B	`conf`	LCQMC: A Large-scale Chinese Question Matching Corpus. COLING Xin Liu, Qingcai Chen, Chong Deng, Huajun Zeng, Jing Chen, Dongfang Li, Buzhou Tang