The School-Enterprise Cooperative Education in the Course of Microcomputer: A Layout of the Teaching in Hunan City University of China. - Yueyang Yuan; Yuzheng Liu; Chao He; Hongyi Yuan (ICDTE, 2021)

BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model. - Hongyi Yuan; Zheng Yuan 002; Ruyi Gan; Jiaxing Zhang 001; Yutao Xie; Sheng Yu 002 (BioNLP@ACL, 2022)

Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning. - Hongyi Yuan; Zheng Yuan 002; Sheng Yu 002 (NAACL-HLT, 2022)

BIOS: An Algorithmically Generated Biomedical Knowledge Graph. - Sheng Yu 002; Zheng Yuan 002; Jun Xia; Shengxuan Luo; Huaiyuan Ying; Sihang Zeng; Jingyi Ren; Hongyi Yuan; Zhengyun Zhao; Yucong Lin; Keming Lu; Jing Wang; et al. (CoRR, 2022)

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers. - Hongyi Yuan; Zheng Yuan 002; Chuanqi Tan; Fei Huang 002; Songfang Huang (CoRR, 2022)

Crop Identification Based on Multi-Temporal Active and Passive Remote Sensing Images. - Hebing Zhang; Hongyi Yuan; Weibing Du; Xiaoxuan Lyu (ISPRS Int. J. Geo Inf., 2022)

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation. - Hongyi Yuan; Zheng Yuan 002; Chuanqi Tan; Fei Huang 002; Songfang Huang (ACL (1), 2023)

Exploring Partial Knowledge Base Inference in Biomedical Entity Linking. - Hongyi Yuan; Keming Lu; Zheng Yuan 002 (BioNLP@ACL, 2023)

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. - Zheng Yuan 005; Qiao Jin 001; Chuanqi Tan; Zhengyun Zhao; Hongyi Yuan; Fei Huang 002; Songfang Huang (ACM Multimedia, 2023)

RRHF: Rank Responses to Align Language Models with Human Feedback. - Hongyi Yuan; Zheng Yuan; Chuanqi Tan; Wei Wang; Songfang Huang; Fei Huang (NeurIPS, 2023)

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. - Zheng Yuan 002; Qiao Jin 001; Chuanqi Tan; Zhengyun Zhao; Hongyi Yuan; Fei Huang 002; Songfang Huang (CoRR, 2023)

Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain. - Hongyi Yuan; Yaoyun Zhang; Fei Huang 002; Songfang Huang (CoRR, 2023)

How well do Large Language Models perform in Arithmetic tasks? - Zheng Yuan 002; Hongyi Yuan; Chuanqi Tan; Wei Wang 225; Songfang Huang (CoRR, 2023)

RRHF: Rank Responses to Align Language Models with Human Feedback without tears. - Zheng Yuan 002; Hongyi Yuan; Chuanqi Tan; Wei Wang 225; Songfang Huang; Fei Huang 002 (CoRR, 2023)

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models. - Zheng Yuan 002; Hongyi Yuan; Chengpeng Li 001; Guanting Dong; Chuanqi Tan; Chang Zhou (CoRR, 2023)

Qwen Technical Report. - Jinze Bai; Shuai Bai; Yunfei Chu; Zeyu Cui; Kai Dang; Xiaodong Deng; Yang Fan; Wenbin Ge; Yu Han; Fei Huang 005; Binyuan Hui; Luo Ji; et al. (CoRR, 2023)

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. - Chengpeng Li 001; Zheng Yuan 002; Hongyi Yuan; Guanting Dong; Keming Lu; Jiancan Wu; Chuanqi Tan; Xiang Wang 010; Chang Zhou (CoRR, 2023)

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. - Guanting Dong; Hongyi Yuan; Keming Lu; Chengpeng Li 001; Mingfeng Xue; Dayiheng Liu; Wei Wang 225; Zheng Yuan 002; Chang Zhou; Jingren Zhou 001 (ACL (1), 2024)

MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. - Chengpeng Li 001; Zheng Yuan 002; Hongyi Yuan; Guanting Dong; Keming Lu; Jiancan Wu; Chuanqi Tan; Xiang Wang 010; Chang Zhou (ACL (1), 2024)

Speculative Contrastive Decoding. - Hongyi Yuan; Keming Lu; Fei Huang 005; Zheng Yuan 002; Chang Zhou (ACL (Short Papers), 2024)

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. - Keming Lu; Hongyi Yuan; Zheng Yuan 002; Runji Lin; Junyang Lin; Chuanqi Tan; Chang Zhou; Jingren Zhou 001 (ICLR, 2024)

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. - Keming Lu; Hongyi Yuan; Runji Lin; Junyang Lin; Zheng Yuan 002; Chang Zhou; Jingren Zhou 001 (NAACL-HLT, 2024)

Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation. - Hongyi Yuan; Zheng Yuan; Chuanqi Tan; Fei Huang; Songfang Huang (NAACL-HLT, 2024)

Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification. - Hongyi Yuan; Sheng Yu 002 (Artif. Intell. Medicine, 2024)

Black-Box Segmentation of Electronic Medical Records. - Hongyi Yuan; Sheng Yu (CoRR, 2024)

Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning. - Hongyi Yuan; Suqi Liu; Kelly Cho; Katherine P. Liao; Alexandre Pereira; Tianxi Cai (CoRR, 2024)

EHRDiff : Exploring Realistic EHR Synthesis with Diffusion Models. - Hongyi Yuan; Songchi Zhou; Sheng Yu 002 (Trans. Mach. Learn. Res., 2024)

GENIE: Generative Note Information Extraction model for structuring EHR data. - Huaiyuan Ying; Hongyi Yuan; Jinsen Lu; Zitian Qu; Yang Zhao; Zhengyun Zhao; Isaac S. Kohane; Tianxi Cai; Sheng Yu 002 (CoRR, 2025)

Evaluating Entity Retrieval in Electronic Health Records: a Semantic Gap Perspective. - Zhengyun Zhao; Hongyi Yuan; Jingjing Liu; Haichao Chen; Huaiyuan Ying; Songchi Zhou; Sheng Yu 002 (CoRR, 2025)

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving. - Luoxin Chen; Jinming Gu; Liankai Huang; Wenhao Huang 001; Zhicheng Jiang; Allan Jie; Xiaoran Jin; Xing Jin; Chenggang Li; Kaijing Ma; Cheng Ren; Jiawei Shen; et al. (CoRR, 2025)