Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao
ICLR 2024 (Oral) | May 2024
Liyuan Liu
Senior Researcher
Publications
Publications by Year
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Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
NeurIPS 2023 (Oral) | December 2023
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
ICLR 2024 | November 2023
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Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
Chengyu Dong, Liyuan Liu, Jingbo Shang
NeurIPS 2022 (Oral) | November 2022
Publications by Research Area
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Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao
ICLR 2024 (Oral) | May 2024
Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
NeurIPS 2023 (Oral) | December 2023
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
ICLR 2024 | November 2023
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
Chengyu Dong, Liyuan Liu, Jingbo Shang
NeurIPS 2022 (Oral) | November 2022
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Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
NeurIPS 2023 (Oral) | December 2023
Publications by Type
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Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs
Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao
ICLR 2024 (Oral) | May 2024
Bridging Discrete and Backpropagation: Straight-Through and Beyond
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
NeurIPS 2023 (Oral) | December 2023
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
ICLR 2024 | November 2023
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
Chengyu Dong, Liyuan Liu, Jingbo Shang
NeurIPS 2022 (Oral) | November 2022