Yuan, Binhang

30 publications

ICLR 2026 Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes Fangyu Ding, Ding Ding, Sijin Chen, Kaibo Wang, Peng Xu, Zijin Feng, Haoli Bai, Kai Han, Youliang Yan, Binhang Yuan, Jiacheng Sun

ICLR 2026 Cascadia: An Efficient Cascade Serving System for Large Language Models Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Jintao Zhang, Nicholas D. Lane, Binhang Yuan

TMLR 2026 ClimateAgent: Multi-Agent Orchestration for Complex Climate Data Science Workflows Chenyue Li, Hyeonjae Kim, Wen Deng, Mengxi Jin, Huang Wen, Mengqian Lu, Binhang Yuan

ICLR 2026 FSA: An Alternative Efficient Implementation of Native Sparse Attention Kernel Ran Yan, Youhe Jiang, Zhuoming Chen, Haohui Mai, Beidi Chen, Binhang Yuan

ICLR 2026 Local Success Does Not Compose: Benchmarking Large Language Models for Compositional Formal Verification Xu Xu, Xin Li, Xingwei Qu, Jie Fu, Binhang Yuan

TMLR 2026 Re:Form --- Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny Chuanhao Yan, Fengdi Che, Xuhan Huang, Xu Xu, Xin Li, Yizhi Li, Xingwei Qu, Jingzhe Shi, Chenghua Lin, Yaodong Yang, Binhang Yuan, Hang Zhao, Yu Qiao, Bowen Zhou, Jie Fu

ICLR 2026 UltraLLaDA: Scaling the Context Length to 128k for Diffusion Large Language Models Guangxin He, Shen Nie, Fengqi Zhu, Yuankang Zhao, Tianyi Bai, Ran Yan, Jie Fu, Chongxuan Li, Binhang Yuan

ICLR 2026 Unlocking Full Efficiency of Token Filtering in Large Language Model Training Di Chai, Li Pengbo, Feiyuan Zhang, Yilun Jin, Han Tian, Kaiqiang Xu, Binhang Yuan, Dian Shen, Junxue Zhang, Kai Chen

ICLR 2026 VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code Lingfei Zeng, Fengdi Che, Xuhan Huang, Fei Ye, Xu Xu, Binhang Yuan, Jie Fu

NeurIPS 2025 AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning Wei Fu, Jiaxuan Gao, Xujie Shen, Chen Zhu, Zhiyu Mei, Chuyi He, Shusheng Xu, Guo Wei, Jun Mei, Wang Jiashu, Tongkai Yang, Binhang Yuan, Yi Wu

NeurIPS 2025 AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science Chenyue Li, Wen Deng, Mengqian Lu, Binhang Yuan

ICLR 2025 DeFT: Decoding with Flash Tree-Attention for Efficient Tree-Structured LLM Inference Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin

ICML 2025 Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs Youhe Jiang, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao, Ana Klimovic, Bin Cui, Binhang Yuan, Eiko Yoneki

NeurIPS 2025 Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More than 9600 GPUs Guoliang He, Youhe Jiang, Wencong Xiao, Jiang Kaihua, Shuguang Wang, Jun Wang, Du Zixian, Zhuo Jiang, Xinlei Zhang, Binhang Yuan, Eiko Yoneki

NeurIPS 2025 Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning Tianyi Bai, Yuxuan Fan, Qiu Jiantao, Fupeng Sun, Jiayi Song, Junlin Han, Zichen Liu, Conghui He, Wentao Zhang, Binhang Yuan

ICLR 2025 HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment Youhe Jiang, Ran Yan, Binhang Yuan

TMLR 2025 Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices Yuxiang Huang, Binhang Yuan, Xu Han, Chaojun Xiao, Zhiyuan Liu

NeurIPS 2025 MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization Rizhen Hu, Yutong He, Ran Yan, Mou Sun, Binhang Yuan, Kun Yuan

NeurIPS 2025 Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification Tianyi Bai, Zengjie Hu, Fupeng Sun, Qiu Jiantao, Yizhen Jiang, Guangxin He, Bohan Zeng, Conghui He, Binhang Yuan, Wentao Zhang

NeurIPS 2024 $\texttt{Model-GLUE}$: Democratized LLM Scaling for a Large Model Zoo in the Wild Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen

ICLRW 2024 DeFT: Flash Tree-Attention with IO-Awareness for Efficient Tree-Search-Based LLM Inference Jinwei Yao, Kexun Zhang, Kaiqi Chen, Jiaxuan You, Zeke Wang, Binhang Yuan, Tao Lin

ICML 2024 HexGen: Generative Inference of Large Language Model over Heterogeneous Environment Youhe Jiang, Ran Yan, Xiaozhe Yao, Yang Zhou, Beidi Chen, Binhang Yuan

ICML 2024 Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training Lin Lu, Chenxi Dai, Wangcheng Tao, Binhang Yuan, Yanan Sun, Pan Zhou

ICML 2023 Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine

ICML 2023 CocktailSGD: Fine-Tuning Foundation Models over 500Mbps Networks Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Re, Ce Zhang

ICML 2023 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen

ICML 2023 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Re, Ion Stoica, Ce Zhang

TMLR 2023 Holistic Evaluation of Language Models Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

NeurIPS 2022 Decentralized Training of Foundation Models in Heterogeneous Environments Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang

NeurIPS 2022 Fine-Tuning Language Models over Slow Networks Using Activation Quantization with Guarantees Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang