作者位次 #4/4NeurIPS 2026Poster
SWE-Pro: A Benchmark for Evaluating LLMs on Performance-Oriented Repository-Level Optimization
Ezgi Sarıkayak · Wenchao Gu · Hesham Ghonim · Chunyang Chen
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Ezgi Sarıkayak · Wenchao Gu · Hesham Ghonim · Chunyang Chen
Jian Gu · Aldeida Aleti · Chunyang Chen · Hongyu Zhang
Large Language Models (LLMs) encode substantial knowledge in their parameters, which can be located, traced, and analyzed. Despite recent progress in neural interpretability, it is still unclear how to transfer such knowledge in a fine-grained manner, namely parametric knowledge transfer (PKT). A...