LCQMC: A Large-scale Chinese Question Matching Corpus. - Xin Liu 054; Qingcai Chen; Chong Deng; Huajun Zeng; Jing Chen; Dongfang Li 002; Buzhou Tang (COLING, 2018)

Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning. - Dongfang Li 002; Ying Xiong; Baotian Hu; Hanyang Du; Buzhou Tang; Qingcai Chen (BioNLP-OST@EMNLP-IJNCLP, 2019)

Multi-strategies Method for Cold-Start Stage Question Matching of rQA Task. - Dongfang Li 002; Qingcai Chen; Songjian Chen; Xin Liu 054; Buzhou Tang; Ben Tan (NLPCC (1), 2019)

BERTSel: Answer Selection with Pre-trained Models. - Dongfang Li 002; Yifei Yu; Qingcai Chen; Xinyu Li (CoRR, 2019)

Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework. - Lisai Zhang; Qingcai Chen; Dongfang Li 002; Buzhou Tang (CoRR, 2019)

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text. - Dongfang Li 002; Baotian Hu; Qingcai Chen; Weihua Peng; Anqi Wang (EMNLP (1), 2020)

Gated Semantic Difference Based Sentence Semantic Equivalence Identification. - Xin Liu 054; Qingcai Chen; Xiangping Wu 001; Yang Hua 004; Jing Chen; Dongfang Li 002; Buzhou Tang; Xiaolong Wang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

FHTC: Few-Shot Hierarchical Text Classification in Financial Domain. - Anqi Wang; Qingcai Chen; Dongfang Li 002 (ICONIP (2), 2021)

MSDF: A General Open-Domain Multi-skill Dialog Framework. - Yu Zhao 043; Xinshuo Hu; Yunxin Li; Baotian Hu; Dongfang Li 002; Sichao Chen; Xiaolong Wang 001 (NLPCC (2), 2021)

You Can Do Better! If You Elaborate the Reason When Making Prediction. - Dongfang Li 002; Jingcong Tao; Qingcai Chen; Baotian Hu (CoRR, 2021)

Attentive capsule network for click-through rate and conversion rate prediction in online advertising. - Dongfang Li 002; Baotian Hu; Qingcai Chen; Xiao Wang; Quanchang Qi; Liubin Wang; Haishan Liu (Knowl. Based Syst., 2021)

Drug knowledge discovery via multi-task learning and pre-trained models. - Dongfang Li 002; Ying Xiong; Baotian Hu; Buzhou Tang; Weihua Peng; Qingcai Chen (BMC Medical Informatics Decis. Mak., 2021)

Toward better prediction of recurrence for Cushing's disease: a factorization-machine based neural approach. - Yanghua Fan; Dongfang Li 002; Yifan Liu; Ming Feng; Qingcai Chen; Renzhi Wang 002 (Int. J. Mach. Learn. Cybern., 2021)

Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. - Junying Chen; Dongfang Li 002; Qingcai Chen; Wenxiu Zhou; Xin Liu 054 (AAAI, 2022)

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. - Dongfang Li 002; Baotian Hu; Qingcai Chen; Tujie Xu; Jingcong Tao; Yunan Zhang 003 (AAAI, 2022)

Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain. - Nengzheng Jin; Dongfang Li 002; Junying Chen; Yubin Qiu; Qingcai Chen (CCKS (Evaluation Track), 2022)

A Survey on Table Question Answering: Recent Advances. - Nengzheng Jin; Joanna Siebert; Dongfang Li 002; Qingcai Chen (CCKS, 2022)

Prompt-based Text Entailment for Low-Resource Named Entity Recognition. - Dongfang Li 002; Baotian Hu; Qingcai Chen (COLING, 2022)

Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates. - Dongfang Li 002; Baotian Hu; Qingcai Chen (EMNLP, 2022)

SeDR: Segment Representation Learning for Long Documents Dense Retrieval. - Junying Chen; Qingcai Chen; Dongfang Li 002; Yutao Huang (CoRR, 2022)

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination. - Dongfang Li 002; Jindi Yu; Baotian Hu; Zhenran Xu; Min Zhang 005 (EMNLP (Findings), 2023)

Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval. - Nengzheng Jin; Dongfang Li 002; Junying Chen; Joanna Siebert; Qingcai Chen (IJCNLP (2), 2023)

A Survey of Large Language Models Attribution. - Dongfang Li 002; Zetian Sun; Xinshuo Hu; Zhenyu Liu; Ziyang Chen; Baotian Hu; Aiguo Wu 001; Min Zhang 005 (CoRR, 2023)

Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration. - Zhenran Xu; Senbao Shi; Baotian Hu; Jindi Yu; Dongfang Li 002; Min Zhang 005; Yuxiang Wu (CoRR, 2023)

Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training. - Dongfang Li 002; Baotian Hu; Qingcai Chen; Shan He (CoRR, 2023)

Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. - Xinshuo Hu; Dongfang Li 002; Baotian Hu; Zihao Zheng; Zhenyu Liu; Min Zhang 005 (AAAI, 2024)

Temporal Knowledge Question Answering via Abstract Reasoning Induction. - Ziyang Chen; Dongfang Li 002; Xiang Zhao 002; Baotian Hu; Min Zhang 005 (ACL (1), 2024)

Improving Attributed Text Generation of Large Language Models via Preference Learning. - Dongfang Li 002; Zetian Sun; Baotian Hu; Zhenyu Liu; Xinshuo Hu; Xuebo Liu 002; Min Zhang 005 (ACL (Findings), 2024)

Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. - Xinshuo Hu; Dongfang Li 002; Xiaoguang Li; Yuxiang Wu; Lifeng Shang; Baotian Hu (LREC/COLING, 2024)

Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment. - Zhenyu Liu; Dongfang Li 002; Xinshuo Hu; Xinping Zhao; Yibin Chen; Baotian Hu; Min Zhang 005 (EMNLP, 2024)

SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. - Xinping Zhao; Dongfang Li 002; Yan Zhong; Boren Hu; Yibin Chen; Baotian Hu; Min Zhang 005 (EMNLP, 2024)

In-Context Learning State Vector with Inner and Momentum Optimization. - Dongfang Li 002; Zhenyu Liu; Xinshuo Hu; Zetian Sun; Baotian Hu; Min Zhang 005 (NeurIPS, 2024)

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection. - Liangxin Liu; Xuebo Liu 002; Derek F. Wong; Dongfang Li 002; Ziyi Wang; Baotian Hu; Min Zhang 005 (NeurIPS, 2024)

Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. - Xinshuo Hu; Baotian Hu; Dongfang Li 002; Xiaoguang Li; Lifeng Shang (CoRR, 2024)

SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection. - Liangxin Liu; Xuebo Liu 002; Derek F. Wong; Dongfang Li 002; Ziyi Wang; Baotian Hu; Min Zhang 005 (CoRR, 2024)

Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion. - Xinping Zhao; Jindi Yu; Zhenyu Liu; Jifang Wang; Dongfang Li 002; Yibin Chen; Baotian Hu; Min Zhang 005 (CoRR, 2024)

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. - Dongfang Li 002; Zetian Sun; Xinshuo Hu; Baotian Hu; Min Zhang 005 (AAAI, 2025)

FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. - Xinping Zhao; Yan Zhong; Zetian Sun; Xinshuo Hu; Zhenyu Liu; Dongfang Li 002; Baotian Hu; Min Zhang 005 (NAACL (Findings), 2025)

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model. - Xinshuo Hu; Zifei Shan; Xinping Zhao; Zetian Sun; Zhenyu Liu; Dongfang Li 002; Shaolin Ye; Xinyuan Wei; Qian Chen 003; Baotian Hu; Haofen Wang; Jun Yu; et al. (CoRR, 2025)

Improving Value-based Process Verifier via Structural Prior Injection. - Zetian Sun; Dongfang Li 002; Baotian Hu; Jun Yu; Min Zhang 005 (CoRR, 2025)

KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model. - Xinping Zhao; Xinshuo Hu; Zifei Shan; Shouzheng Huang; Yao Zhou; Zetian Sun; Zhenyu Liu; Dongfang Li 002; Xinyuan Wei; Qian Chen 003; Youcheng Pan; Yang Xiang 003; et al. (CoRR, 2025)

Diversity First, Quality Later: A Two-Stage Assumption for Language Model Alignment. - Zetian Sun; Dongfang Li 002; Baotian Hu (CoRR, 2025)

Improving Value-based Process Verifier via Low-Cost Variance Reduction. - Zetian Sun; Dongfang Li 002; Baotian Hu; Min Zhang 005 (CoRR, 2025)

Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards. - Zetian Sun; Dongfang Li 002; Zhuoen Chen; Yuhuai Qin; Baotian Hu (CoRR, 2025)