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2020 – today
- 2024
[c1]Fei Yu, Anningzhe Gao, Benyou Wang:
OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning. NAACL-HLT (Findings) 2024: 858-875- [i15]Xidong Wang, Nuo Chen, Junyin Chen, Yan Hu, Yidong Wang, Xiangbo Wu, Anningzhe Gao, Xiang Wan, Haizhou Li, Benyou Wang:
Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People. CoRR abs/2403.03640 (2024) - [i14]Anningzhe Gao, Shan Dai:
RoTHP: Rotary Position Embedding-based Transformer Hawkes Process. CoRR abs/2405.06985 (2024) - [i13]Xuhan Huang, Qingning Shen, Yan Hu, Anningzhe Gao, Benyou Wang:
Mamo: a Mathematical Modeling Benchmark with Solvers. CoRR abs/2405.13144 (2024) - [i12]Jiahui Xu, Feng Jiang, Anningzhe Gao, Haizhou Li:
Unsupervised Mutual Learning of Dialogue Discourse Parsing and Topic Segmentation. CoRR abs/2405.19799 (2024) - [i11]Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang:
LLMs Could Autonomously Learn Without External Supervision. CoRR abs/2406.00606 (2024) - [i10]Wenya Xie, Qingying Xiao, Yu Zheng, Xidong Wang, Junying Chen, Ke Ji, Anningzhe Gao, Xiang Wan, Feng Jiang, Benyou Wang:
LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them. CoRR abs/2406.18034 (2024) - [i9]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:
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale. CoRR abs/2406.19280 (2024) - [i8]Anningzhe Gao, Shan Dai, Yan Hu:
Mamba Hawkes Process. CoRR abs/2407.05302 (2024) - [i7]Junying Chen, Chi Gui, Anningzhe Gao, Ke Ji, Xidong Wang, Xiang Wan, Benyou Wang:
CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis. CoRR abs/2407.13301 (2024) - [i6]Yuhao Du, Zhuo Li, Pengyu Cheng, Xiang Wan, Anningzhe Gao:
Detecting AI Flaws: Target-Driven Attacks on Internal Faults in Language Models. CoRR abs/2408.14853 (2024) - [i5]Zhuo Li, Yuhao Du, Jinpeng Hu, Xiang Wan, Anningzhe Gao:
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs. CoRR abs/2409.01552 (2024) - [i4]Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li:
Aligning Language Models Using Follow-up Likelihood as Reward Signal. CoRR abs/2409.13948 (2024) - 2023
- [i3]Fei Yu, Anningzhe Gao, Benyou Wang:
Outcome-supervised Verifiers for Planning in Mathematical Reasoning. CoRR abs/2311.09724 (2023) - [i2]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:
HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs. CoRR abs/2311.09774 (2023) - [i1]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:
MLLM-Bench, Evaluating Multi-modal LLMs using GPT-4V. CoRR abs/2311.13951 (2023)
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