ReflectRL repurposes failed expert reasoning traces as reflective scaffolding during RL and distillation training, then transitions the policy to direct reasoning, improving math and science benchmark scores.
Open- reasoner-zero: An open source approach to scaling up reinforcement learning on the base model
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning
ReflectRL repurposes failed expert reasoning traces as reflective scaffolding during RL and distillation training, then transitions the policy to direct reasoning, improving math and science benchmark scores.