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[QA] ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
ReSearch is a novel framework that enhances LLM reasoning by integrating search processes through reinforcement learning, improving generalizability and advanced reasoning capabilities without supervised data.
https://arxiv.org/abs//2503.19470
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
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By Igor Melnyk
5
33 ratings
ReSearch is a novel framework that enhances LLM reasoning by integrating search processes through reinforcement learning, improving generalizability and advanced reasoning capabilities without supervised data.
https://arxiv.org/abs//2503.19470
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
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