Lott, Christopher

8 publications

ICLR 2025 How Efficient Is LLM-Generated Code? a Rigorous & High-Standard Benchmark Ruizhong Qiu, Weiliang Will Zeng, James Ezick, Christopher Lott, Hanghang Tong

NeurIPS 2025 KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments Junyoung Park, Dalton Jones, Matthew J Morse, Raghavv Goel, Mingu Lee, Christopher Lott

ICLRW 2024 Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement Wonseok Jeon, Mukul Gagrani, Raghavv Goel, Junyoung Park, Mingu Lee, Christopher Lott

ICLR 2023 Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions Mingu Lee, Saurabh Pitre, Tianyu Jiang, Pierre-David Letourneau, Matthew J Morse, Kanghwan Jang, Joseph Soriaga, Parham Noorzad, Hsin-Pai Cheng, Christopher Lott

ICML 2023 Moccasin: Efficient Tensor Rematerialization for Neural Networks Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina

ICLR 2023 Neural DAG Scheduling via One-Shot Priority Sampling Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott

NeurIPSW 2022 Neural DAG Scheduling via One-Shot Priority Sampling Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott

NeurIPS 2022 Neural Topological Ordering for Computation Graphs Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Zeng, Piero Zappi