Anningzhe Gao

According to our database, Anningzhe Gao authored at least 34 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RLHF in an SFT Way: From Optimal Solution to Reward-Weighted Alignment.

Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao Xie, Xiang Wan, Anningzhe Gao

Trans. Mach. Learn. Res., 2026

Rotary Position Embedding-Based Transformer Hawkes Process for Event-Type Big Data.

Shan Dai, Anningzhe Gao, Zhuo Li, Yuhao Du

Big Data Min. Anal., 2026

Mamba Hawkes Process for Event Sequence Modeling.

Shan Dai, Yuyang Shen, Yuyang Liang, Chenhao Ma, Anningzhe Gao

Proceedings of the ACM Web Conference 2026, 2026

2025

Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance.

Zhuo Li, Pengyu Cheng, Zhechao Yu, Feifei Tong, Anningzhe Gao, Tsung-Hui Chang, Xiang Wan, Erchao Zhao, Xiaoxi Jiang, Guanjun Jiang

CoRR, December, 2025

Enabling Doctor-Centric Medical AI with LLMs through Workflow-Aligned Tasks and Benchmarks.

Wenya Xie, Qingying Xiao, Yu Zheng, Xidong Wang, Junying Chen, Ke Ji, Anningzhe Gao, Prayag Tiwari, Xiang Wan, Feng Jiang, Benyou Wang

CoRR, October, 2025

Prototype-Oriented Clean Subset Extraction for Noisy Long-Tailed Classification.

Zhuo Li, He Zhao, Anningzhe Gao, Dandan Guo, Tsung-Hui Chang, Xiang Wan

IEEE Trans. Circuits Syst. Video Technol., August, 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, March, 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, February, 2025

Synthesizing Minority Samples for Long-tailed Classification via Distribution Matching.

Zhuo Li, He Zhao, Jinke Ren, Anningzhe Gao, Dandan Guo, Xiang Wan, Hongyuan Zha

Trans. Mach. Learn. Res., 2025

Huatuo-26M, a Large-scale Chinese Medical QA Dataset.

Xidong Wang, Jianquan Li, Shunian Chen, Yuxuan Zhu, Xiangbo Wu, Zhiyi Zhang, Xiaolong Xu, Junying Chen, Jie Fu, Xiang Wan, Anningzhe Gao, Benyou Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages.

Xuhan Huang, Qingning Shen, Yan Hu, Anningzhe Gao, Benyou Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria.

Wentao Ge, Shunian Chen, Hardy Chen, Nuo Chen, Junying Chen, Zhihong Chen, Wenya Xie, Shuo Yan, ChenghaoZhu ChenghaoZhu, Ziyue Lin, Dingjie Song, Xidong Wang, Anningzhe Gao, Zhiyi Zhang, Jianquan Li, Xiang Wan, Benyou Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Atoxia: Red-teaming Large Language Models with Target Toxic Answers.

Yuhao Du, Zhuo Li, Pengyu Cheng, Xiang Wan, Anningzhe Gao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport.

Zhuo Li, Yuege Feng, Dandan Guo, Jinpeng Hu, Anningzhe Gao, Xiang Wan

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm.

Zhuo Li, Yuhao Du, Xiaoqi Jiao, Steven Y. Guo, Yuege Feng, Xiang Wan, Anningzhe Gao, Jinpeng Hu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DRBO: Mitigating Short Board Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization.

Nuo Chen, Yufei Gao, Yongnan Jin, Yan Hu, Anningzhe Gao, Lingyong Yan, Benyou Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Unlocking LLMs' Self-Improvement Capacity with Autonomous Learning for Domain Adaptation.

Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Aligning Language Models Using Follow-up Likelihood as Reward Signal.

Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Mamba Hawkes Process.

Anningzhe Gao, Shan Dai, Yan Hu

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

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, Benyou Wang

CoRR, 2024

LLMs Could Autonomously Learn Without External Supervision.

Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang

CoRR, 2024

Unsupervised Mutual Learning of Dialogue Discourse Parsing and Topic Segmentation.

Jiahui Xu, Feng Jiang, Anningzhe Gao, Haizhou Li

CoRR, 2024

Mamo: a Mathematical Modeling Benchmark with Solvers.

Xuhan Huang, Qingning Shen, Yan Hu, Anningzhe Gao, Benyou Wang

CoRR, 2024

RoTHP: Rotary Position Embedding-based Transformer Hawkes Process.

Anningzhe Gao, Shan Dai

CoRR, 2024

Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People.

Xidong Wang, Nuo Chen, Junyin Chen, Yan Hu, Yidong Wang, Xiangbo Wu, Anningzhe Gao, Xiang Wan, Haizhou Li, Benyou Wang

CoRR, 2024

OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning.

Fei Yu, Anningzhe Gao, Benyou Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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, Jianquan Li, Xiang Wan, Benyou Wang

CoRR, 2023

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs.

Junying Chen, Xidong Wang, Anningzhe Gao, Feng Jiang, Shunian Chen, Hongbo Zhang, Dingjie Song, Wenya Xie, Chuyi Kong, Jianquan Li, Xiang Wan, Haizhou Li, Benyou Wang

CoRR, 2023

Outcome-supervised Verifiers for Planning in Mathematical Reasoning.

Fei Yu, Anningzhe Gao, Benyou Wang

CoRR, 2023