Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu: LongCodeZip: Compress Long Context for Code Language Models https://arxiv.org/abs/2510.00446 https://arxiv.org/pdf/2510.00446 https://arxiv.org/html/2510.00446

LongCodeZip, a new code‑context compression framework, reportedly achieves up to 5.6× compression without hurting performance and has been accepted to the 2025 ASE conference. Read more: https://getnews.me/longcodezip-enhances-code-llms-with-efficient-long-context-compression/ #longcodezip #ase2025

Introducing LongCodeZip, a framework that enhances code generation by compressing long contexts for LLMs. Achieving a 5.6x compression ratio, it streamlines processing while preserving essential information, boosting performance in various coding tasks. https://arxiv.org/abs/2510.00446

Yuling Shi, Yichun Qian, Hongyu Zhang, Beijun Shen, Xiaodong Gu
LongCodeZip: Compress Long Context for Code Language Models
https://arxiv.org/abs/2510.00446