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LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts research paper by Microsoft, 2025

Microsoft · Oct 22, 2025 · Reasoning · 25 citations · 63 upvotes · unverified

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What it shows

LoongRL, a data-driven reinforcement learning method, enhances long-context reasoning by transforming short multi-hop QA into high-difficulty tasks, improving accuracy and generalization in large language models.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Siyuan Wang, Gaokai Zhang, Li Lyna Zhang and 4 more
arXiv
2510.19363 · PDF
Venue
arXiv.org
Citations
25, 5 influential · Semantic Scholar
Upvotes
63 · Hugging Face
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

What changed
Influential citationsfirst count: 5Sep 25, 2026
Citationsfirst count: 25Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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