Ermo Hua

According to our database, Ermo Hua authored at least 20 papers between 2024 and 2025.

Collaborative distances:

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

2025

Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism.

Yuhua Jiang, Shuang Cheng, Yihao Liu, Ermo Hua, Che Jiang, Weigao Sun, Yu Cheng, Feifei Gao, Biqing Qi, Bowen Zhou

CoRR, October, 2025

FlowRL: Matching Reward Distributions for LLM Reasoning.

Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin

CoRR, September, 2025

A Survey of Reinforcement Learning for Large Reasoning Models.

Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou

CoRR, September, 2025

Automating Exploratory Multiomics Research via Language Models.

Shang Qu, Ning Ding, 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, June, 2025

Deep Unfolding with Kernel-based Quantization in MIMO Detection.

Zeyi Ren, Jingreng Lei, Yichen Jin, Ermo Hua, Qingfeng Lin, Chen Zhang, Bowen Zhou, Yik-Chung Wu

CoRR, May, 2025

Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models.

Xingtai Lv, Youbang Sun, Kaiyan Zhang, Shang Qu, Xuekai Zhu, Yuchen Fan, Yi Wu, Ermo Hua, Xinwei Long, Ning Ding, Bowen Zhou

CoRR, March, 2025

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees.

Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

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

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines.

Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi, Bowen Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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