Outcome-supervised Verifiers for Planning in Mathematical Reasoning. - Fei Yu; Anningzhe Gao; Benyou Wang (CoRR, 2023)

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs. - Junying Chen; Xidong Wang; Anningzhe Gao; Feng Jiang 007; Shunian Chen; Hongbo Zhang; Dingjie Song; Wenya Xie; Chuyi Kong; Jianquan Li; Xiang Wan; Haizhou Li 001; et al. (CoRR, 2023)

MLLM-Bench, Evaluating Multi-modal LLMs using GPT-4V. - Wentao Ge; Shunian Chen; Guiming Chen; Junying Chen; Zhihong Chen; Shuo Yan; Chenghao Zhu; Ziyue Lin; Wenya Xie; Xidong Wang; Anningzhe Gao; Zhiyi Zhang 007; et al. (CoRR, 2023)

Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale. - Junying Chen; Chi Gui; Ruyi Ouyang; Anningzhe Gao; Shunian Chen; Guiming Chen; Xidong Wang; Zhenyang Cai; Ke Ji; Xiang Wan; Benyou Wang (EMNLP, 2024)

OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning. - Fei Yu; Anningzhe Gao; Benyou Wang (NAACL-HLT (Findings), 2024)

Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People. - Xidong Wang; Nuo Chen 002; Junyin Chen; Yan Hu; Yidong Wang; Xiangbo Wu; Anningzhe Gao; Xiang Wan; Haizhou Li 001; Benyou Wang (CoRR, 2024)

RoTHP: Rotary Position Embedding-based Transformer Hawkes Process. - Anningzhe Gao; Shan Dai (CoRR, 2024)

Mamo: a Mathematical Modeling Benchmark with Solvers. - Xuhan Huang; Qingning Shen; Yan Hu; Anningzhe Gao; Benyou Wang (CoRR, 2024)

Unsupervised Mutual Learning of Dialogue Discourse Parsing and Topic Segmentation. - Jiahui Xu; Feng Jiang 007; Anningzhe Gao; Haizhou Li 001 (CoRR, 2024)

LLMs Could Autonomously Learn Without External Supervision. - Ke Ji; Junying Chen; Anningzhe Gao; Wenya Xie; Xiang Wan; Benyou Wang (CoRR, 2024)

LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them. - Wenya Xie; Qingying Xiao; Yu Zheng; Xidong Wang; Junying Chen; Ke Ji; Anningzhe Gao; Xiang Wan; Feng Jiang 007; Benyou Wang (CoRR, 2024)

HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale. - Junying Chen; Ruyi Ouyang; Anningzhe Gao; Shunian Chen; Guiming Hardy Chen; Xidong Wang; Ruifei Zhang; Zhenyang Cai; Ke Ji; Guangjun Yu; Xiang Wan; Benyou Wang (CoRR, 2024)

Mamba Hawkes Process. - Anningzhe Gao; Shan Dai; Yan Hu (CoRR, 2024)

Detecting AI Flaws: Target-Driven Attacks on Internal Faults in Language Models. - Yuhao Du; Zhuo Li; Pengyu Cheng; Xiang Wan; Anningzhe Gao (CoRR, 2024)

Aligning Language Models Using Follow-up Likelihood as Reward Signal. - Chen Zhang 020; Dading Chong; Feng Jiang 007; Chengguang Tang; Anningzhe Gao; Guohua Tang; Haizhou Li 001 (AAAI, 2025)

CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis. - Junying Chen; Chi Gui; Anningzhe Gao; Ke Ji; Xidong Wang; Xiang Wan; Benyou Wang (ACL (Findings), 2025)

Unlocking LLMs' Self-Improvement Capacity with Autonomous Learning for Domain Adaptation. - Ke Ji; Junying Chen; Anningzhe Gao; Wenya Xie; Xiang Wan; Benyou Wang (ACL (Findings), 2025)

Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs. - Zhuo Li; Yuhao Du; Jinpeng Hu; Xiang Wan; Anningzhe Gao (ACL (1), 2025)

Atoxia: Red-teaming Large Language Models with Target Toxic Answers. - Yuhao Du; Zhuo Li; Pengyu Cheng; Xiang Wan; Anningzhe Gao (NAACL (Findings), 2025)

MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria. - Wentao Ge; Shunian Chen; Hardy Chen; Nuo Chen 002; Junying Chen; Zhihong Chen; Wenya Xie; Shuo Yan; ChenghaoZhu ChenghaoZhu; Ziyue Lin; Dingjie Song; Xidong Wang; et al. (NAACL (Long Papers), 2025)

LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages. - Xuhan Huang; Qingning Shen; Yan Hu; Anningzhe Gao; Benyou Wang (NAACL (Findings), 2025)

Huatuo-26M, a Large-scale Chinese Medical QA Dataset. - Xidong Wang; Jianquan Li; Shunian Chen; Yuxuan Zhu; Xiangbo Wu; Zhiyi Zhang 007; Xiaolong Xu; Junying Chen; Jie Fu 001; Xiang Wan; Anningzhe Gao; Benyou Wang (NAACL (Findings), 2025)

Synthesizing Minority Samples for Long-tailed Classification via Distribution Matching. - Zhuo Li; He Zhao 001; Jinke Ren; Anningzhe Gao; Dandan Guo; Xiang Wan; Hongyuan Zha (Trans. Mach. Learn. Res., 2025)

Simplify RLHF as Reward-Weighted SFT: A Variational Method. - Yuhao Du; Zhuo Li; Pengyu Cheng; Zhihong Chen; Yuejiao Xie; Xiang Wan; Anningzhe Gao (CoRR, 2025)

Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm. - Zhuo Li; Yuhao Du; Xiaoqi Jiao; Yiwen Guo; Yuege Feng; Xiang Wan; Anningzhe Gao; Jinpeng Hu (CoRR, 2025)

Prototype-Oriented Clean Subset Extraction for Noisy Long-Tailed Classification. - Zhuo Li; He Zhao 001; Anningzhe Gao; Dandan Guo; Tsung-Hui Chang; Xiang Wan (IEEE Trans. Circuits Syst. Video Technol., 2025)