Reasoning & Test-Time Compute · 2025
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Presents a full RL recipe for a frontier reasoning model built on long-context scaling and simplified policy optimization without value functions, MCTS, or process reward models.
Editorial record
Plain-language summary
Presents a full RL recipe for a frontier reasoning model built on long-context scaling and simplified policy optimization without value functions, MCTS, or process reward models.
Knowledge graph
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Descendants
Conceptual ancestorEvidence: Strongly supported
Chain-of-Thought Prompting Elicits Reasoning
Builds on the reasoning lineage in the archive
freshness sweep 2026
Source record
Provenance
- Record ID
- P-637
- Record created
- 2026-07-13
- Last reviewed
- 2026-07-14
- Record version
- 2
- https://arxiv.org/abs/2501.12599
- arXiv:2501.12599
Citation caveat: Citation metadata is approximate and marked unverified in the source dataset.