Yuan, Jiayi

9 publications

ICLR 2025 InvestESG: A Multi-Agent Reinforcement Learning Benchmark for Studying Climate Investment as a Social Dilemma Xiaoxuan Hou, Jiayi Yuan, Joel Z Leibo, Natasha Jaques

TMLR 2025 Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu

NeurIPS 2025 Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference Jiayi Yuan, Hao Li, Xinheng Ding, Wenya Xie, Yu-Jhe Li, Wentian Zhao, Kun Wan, Jing Shi, Xia Hu, Zirui Liu

ICML 2024 GNNs Also Deserve Editing, and They Need It More than Once Shaochen Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu

ICML 2024 KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu

AAAI 2023 Recurrent Structure Attention Guidance for Depth Super-Resolution Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

NeurIPS 2023 Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models Through Honeypots Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu

AAAI 2023 Structure Flow-Guided Network for Real Depth Super-Resolution Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li, Jian Yang

ICML 2022 DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin