What is recorded here?
Integrated long-context reasoning RL with reusable partial rollouts, policy optimization and multimodal data, and transferred longer reasoning behavior toward shorter-response models through length control and merging.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
RL, online mirror descent and distillation/merging have predecessors. Report includes long-CoT warmup SFT, so not a no-supervision recipe. Context scaling is observed on specified experiments, not an unlimited scaling law; inference traces are not proof of faithful internal search.
Read the original work
- Kimi k1.5: Scaling Reinforcement Learning with LLMs
- Kimi Team: partial-rollout long-context RL and long-to-short transfer — author/institutional project
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities. The recorded author list is incomplete.
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English catalogue narrative
Kimi Team: partial-rollout long-context RL and long-to-short transfer
Integrated long-context reasoning RL with reusable partial rollouts, policy optimization and multimodal data, and transferred longer reasoning behavior toward shorter-response models through length control and merging.
Scientific scope
RL, online mirror descent and distillation/merging have predecessors. Report includes long-CoT warmup SFT, so not a no-supervision recipe. Context scaling is observed on specified experiments, not an unlimited scaling law; inference traces are not proof of faithful internal search.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.