Anningzhe Gao

According to our database, Anningzhe Gao authored at least 17 papers between 2023 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

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

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

CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis.

Junying Chen, Chi Gui, Anningzhe Gao, Ke Ji, Xidong Wang, Xiang Wan, Benyou Wang

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