https://deep-learning-profiling-tools.github.io/CAT-Lab/tag/llm/LLMHugo Blox Builder (https://hugoblox.com)en-usWed, 18 Mar 2026 00:00:00 +0000https://deep-learning-profiling-tools.github.io/CAT-Lab/media/icon_hu6808975029018430273.pnghttps://deep-learning-profiling-tools.github.io/CAT-Lab/tag/llm/https://deep-learning-profiling-tools.github.io/CAT-Lab/news/2026-03-18-fse-ivr2026/Wed, 18 Mar 2026 00:00:00 +0000https://deep-learning-profiling-tools.github.io/CAT-Lab/news/2026-03-18-fse-ivr2026/<p>Our paper <a href="https://deep-learning-profiling-tools.github.io/CAT-Lab/CAT-Lab/publication/fse-ivr2026/"><em>Context-Aware Feedback Compression in Online Judge Programming with LLMs</em></a>, by <strong>Jialiang Gu, Keren Zhou, Daming Li, Hanyuan Shi, and Jialu Zhang</strong>, has been accepted at <strong>FSE-IVR 2026</strong>. Congratulations to all the authors!</p>