Self-Challenging Language Model Agents

from Arxiv Papers · host Igor Melnyk

The Self-Challenging framework enables agents to generate and train on high-quality tasks autonomously, achieving significant performance improvements using self-generated data in tool-use benchmarks. https://arxiv.org/abs//2506.01716 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

Episode metadata supplied by the publisher feed · Published Jun 7, 2025

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Self-Challenging Language Model Agents

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