Jiayi Yuan

40 papers A* 9Misc 1Journal 25Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Context matching is not reasoning when performing generalized clinical evaluation of generative language models.
npj Digit. Medicine
Andrew Wen, Qiuhao Lu, Yu-Neng Chuang, Guanchu Wang, Jiayi Yuan, Jiamu Zhang, Liwei Wang, Sunyang Fu, Kurt Miller, Heling Jia, Stephen Bedrick, William R. Hersh, Kirk E. Roberts, Xia (Ben) Hu, Hongfang Liu
2025 J jnl
AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models.
CoRR
Feng Luo, Yu-Neng Chuang, Guanchu Wang, Hoang Anh Duy Le, Shaochen Zhong, Hongyi Liu, Jiayi Yuan, Yang Sui, Vladimir Braverman, Vipin Chaudhary, Xia Hu
2025 — conf
DHP Benchmark: Are LLMs Good NLG Evaluators?
NAACL (Findings)
Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang, Zhuoer Wang, Yingchi Liu, Mark Cusick, Param Kulkarni, Zhengping Ji, Yasser Ibrahim, Xia Hu
2025 J jnl
Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch.
CoRR
Ziyang Zhang, Xinheng Ding, Jiayi Yuan, Rixin Liu, Huizi Mao, Jiarong Xing, Zirui Liu
2025 J jnl
Give Me FP32 or Give Me Death? Challenges and Solutions for Reproducible Reasoning.
CoRR
Jiayi Yuan, Hao Li, Xinheng Ding, Wenya Xie, Yu-Jhe Li, Wentian Zhao, Kun Wan, Jing Shi, Xia Hu, Zirui Liu
2025 J jnl
LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting.
SIGKDD Explor.
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla-Reyes, Daochen Zha, Xia Hu
2025 — conf
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
EMNLP (Findings)
Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025 — conf
ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks.
ACL (Findings)
Jiamu Zhang, Jiayi Yuan, Andrew Wen, Hoang Anh Duy Le, Yu-Neng Chuang, Soo-Hyun Choi, Rui Chen, Xia Hu
2025 J jnl
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.
CoRR
Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Hanjie Chen, Xia Ben Hu
2025 J jnl
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.
Trans. Mach. Learn. Res.
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
2025 J jnl
The Science of Evaluating Foundation Models.
CoRR
Jiayi Yuan, Jiamu Zhang, Andrew Wen, Xia Hu
2024 J jnl
DHP Benchmark: Are LLMs Good NLG Evaluators?
CoRR
Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang, Zhuoer Wang, Yingchi Liu, Mark Cusick, Param Kulkarni, Zhengping Ji, Yasser Ibrahim, Xia Hu
2024 A* conf
GNNs Also Deserve Editing, and They Need It More Than Once.
ICML
Shaochen (Henry) 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
2024 A* conf
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.
ICML
Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024 J jnl
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.
CoRR
Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024 — conf
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
EMNLP (Findings)
Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu
2024 J jnl
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.
CoRR
Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu
2024 J jnl
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
CoRR
Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2024 A* conf
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
EMNLP
Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu
2024 J jnl
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion.
CoRR
Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu
2024 J jnl
Understanding Different Design Choices in Training Large Time Series Models.
CoRR
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu
2023 — conf
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke.
BCB
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
2023 J jnl
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke.
CoRR
Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, Zhe He
2023 J jnl
ERSAM: Neural Architecture Search For Energy-Efficient and Real-Time Social Ambiance Measurement.
CoRR
Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Lin, Ashutosh Sabharwal
2023 Misc conf
ERSAM: Neural Architecture Search for Energy-Efficient and Real-Time Social Ambiance Measurement.
ICASSP
Chaojian Li, Wenwan Chen, Jiayi Yuan, Yingyan Celine Lin, Ashutosh Sabharwal
2023 J jnl
EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design.
IEEE Micro
Haoran You, Yang Zhao, Cheng Wan, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Celine Lin
2023 A* conf
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design.
ISCA
Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin
2023 J jnl
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design.
CoRR
Yonggan Fu, Zhifan Ye, Jiayi Yuan, Shunyao Zhang, Sixu Li, Haoran You, Yingyan Lin
2023 J jnl
LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability.
CoRR
Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, Xia Hu
2023 A* conf
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants.
DAC
Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Celine Lin
2023 J jnl
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants.
CoRR
Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Haoran You, Yingyan Lin
2023 A* conf
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning.
DAC
Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Celine Lin
2023 J jnl
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning.
CoRR
Yonggan Fu, Ye Yuan, Shang Wu, Jiayi Yuan, Yingyan Lin
2023 A* conf
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.
NeurIPS
Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
2023 J jnl
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots.
CoRR
Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
2023 J jnl
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint.
CoRR
Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou
2022 A* conf
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.
ICML
Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
2022 J jnl
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks.
CoRR
Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin
2022 J jnl
EyeCoD: Eye Tracking System Acceleration via FlatCam-based Algorithm & Accelerator Co-Design.
CoRR
Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin
2022 A* conf
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design.
ISCA
Haoran You, Cheng Wan, Yang Zhao, Zhongzhi Yu, Yonggan Fu, Jiayi Yuan, Shang Wu, Shunyao Zhang, Yongan Zhang, Chaojian Li, Vivek Boominathan, Ashok Veeraraghavan, Ziyun Li, Yingyan Lin