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Ermo Hua

UltraMedical: Building Specialized Generalists in Biomedicine
2024 · Kaiyan Zhang, Sihang Zeng, et al. · neural information processing systems · 24
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CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
2024 · Kaiyan Zhang, Jianyu Wang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 15
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Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
2025 · Xinwei Long, Zhiyuan Ma, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 12
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TTRL: Test-Time Reinforcement Learning
2025 · Yuxin Zuo, Kaiyan Zhang, et al. · neural information processing systems · 7
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Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation
2024 · Qi, Biqing, Zhang, Kaiyan, et al. · arXiv (Cornell University) · 5
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A Survey of Reinforcement Learning for Large Reasoning Models
2025 · Zhang, Kaiyan, Zuo, Yuxin, et al. · arXiv (Cornell University) · 3
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MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
2025 · Zuo, Yuxin, Qu, Shang, et al. · arXiv (Cornell University) · 3
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Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding
2024 · Zhang, Kaiyan, Wang, Jianyu, et al. · arXiv (Cornell University) · 3
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Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
2024 · Xingtai Lv, Ning Ding, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
2026 · Zou, Yicheng, Zhu, Dongsheng, et al. · arXiv (Cornell University) · 1
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FlowRL: Matching Reward Distributions for LLM Reasoning
2025 · Zhu, Xuekai, Cheng, Daixuan, et al. · arXiv (Cornell University) · 1
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Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
2025 · Ermo Hua, Biqing Qi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Meta Expert: Cross-Layer Expert Sharing for Storage- and Retrieval-Efficient MoE
2026 · Hua, Ermo, Hong, Xiangyu, et al. · arXiv (Cornell University)
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Safin-1: Safety from Within through Memory-Native State Evolution
2026 · Zhang, Ming, Yang, Kaisen, et al. · arXiv (Cornell University)
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Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning
2026 · Chen, Kai, Ding, Jifeng, et al. · arXiv (Cornell University)
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MARCH: Scaling Recurrent Memory with Content-Routed State Anchors
2026 · Zhang, Ming, Yang, Kaisen, et al. · arXiv (Cornell University)
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PI-Mem: Pushing Long-Context Reasoning to 3.6M Tokens with Parallel-Iterative Memory
2026 · Liu, Dawei, Song, Haixu, et al. · arXiv (Cornell University)
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Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering
2026 · Yang, Junlin, Jiang, Che, et al. · arXiv (Cornell University)
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Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
2026 · Association for Computational Linguistics 2026, Cheng, Yu, et al. · Underline Science Inc.
VC-VTON: Toward Across-View and Multi-Posture-Driven Virtual Try-On via Spatiotemporal-Aware View-Consistency Training
2026 · Zhiyuan Ma, Jiabao Wei, et al. · IEEE Transactions on Image Processing
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
2026 · Yuhua Jiang, Shuang Cheng, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Automating Exploratory Multiomics Research via Language Models
2025 · Qu, Shang, Ding, Ning, et al. · arXiv (Cornell University)
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Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models
2025 · Lv, Xingtai, Sun, Youbang, et al. · arXiv (Cornell University)
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How to Synthesize Text Data without Model Collapse?
2024 · Zhu, Xuekai, Cheng, Daixuan, et al. · arXiv (Cornell University)
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Automating Exploratory Proteomics Research via Language Models
2024 · Ding, Ning, Qu, Shang, et al. · arXiv (Cornell University)
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Works count: 29
Citation count: 77
H-index: 5
I10-index: 3
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