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AI agents gain research skills from GitHub repos, boosting performance

By PulseAugur Editorial · [2 sources] ·

Researchers have developed DisCo, a novel skill-powered agent designed to enhance the capabilities of autonomous AI agents in machine-learning research. DisCo distills operational knowledge from GitHub repositories and research papers into compact, reusable skills. This distilled knowledge significantly boosts agent performance on various benchmarks, including MLE-bench, PaperBench, FrontierCS, and PassNet, when integrated with a GPT-5.5 backbone. AI

IMPACT This research could lead to more capable AI agents for scientific discovery by enabling them to leverage vast amounts of existing code and knowledge.

RANK_REASON The cluster contains an academic paper detailing a new AI methodology and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI agents gain research skills from GitHub repos, boosting performance

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The cluster contains an academic paper detailing a new AI methodology and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jianlyu Chen, Yuyang Hu, Hongjin Qian, Jiawei Liu, Wenqing Wei, Xiaolong Chen, Defu Lian, Zhicheng Dou, Chaozhuo Li, Qiwei Ye, Zheng Liu ·

    Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills

    arXiv:2609.02749v1 Announce Type: new Abstract: Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model backbone with a harness for planning, execution, memory, and verification, but this architecture still leaves domai…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills

    DisCo is a research agent that distills operational knowledge into reusable skills, significantly improving autonomous ML research performance across benchmarks.

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