Ermo Hua

According to our database, Ermo Hua authored at least 11 papers between 2024 and 2025.

Collaborative distances:

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

2025

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

Yuxin Zuo, Shang Qu, Yifei Li, Zhangren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou

CoRR, January, 2025

2024

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization.

Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Ning Ding, Youbang Sun, Biqing Qi, Yuchen Fan, Xuekai Zhu, Bowen Zhou

CoRR, 2024

How to Synthesize Text Data without Model Collapse?

Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou

CoRR, 2024

Automating Exploratory Proteomics Research via Language Models.

Ning Ding, Shang Qu, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou

CoRR, 2024

CALF: Benchmarking Evaluation of LFQA Using Chinese Examinations.

Yuchen Fan, Xin Zhong, Heng Zhou, Yuchen Zhang, Mingyu Liang, Chengxing Xie, Ermo Hua, Ning Ding, Bowen Zhou

CoRR, 2024

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation.

Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Jinfang Hu, Bowen Zhou

CoRR, 2024

Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding.

Kaiyan Zhang, Jianyu Wang, Ning Ding, Biqing Qi, Ermo Hua, Xingtai Lv, Bowen Zhou

CoRR, 2024

Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process.

Ermo Hua, Biqing Qi, Kaiyan Zhang, Yue Yu, Ning Ding, Xingtai Lv, Kai Tian, Bowen Zhou

CoRR, 2024

UltraMedical: Building Specialized Generalists in Biomedicine.

Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention.

Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou

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

CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following.

Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024