RELAY: Selective Self-Distillation with Adaptive Hand-off for Rubric-Based Reinforcement Learning
cs.LG, cs.AI, cs.CL
Submitted: 2026-10-13
Updated: 2026-10-14
Comments: 17 pages, 8 figures, 13 tables
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- HealthBench: Evaluating Large Language Models Towards Improved Human Health
- Rubrics as Privileged Information for Open-Ended Generation
- Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation
- Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
- Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance
- Reinforcement Learning via Self-Distillation
- Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR
- Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy
- Sequential Beats Joint: On the Interplay between On-Policy Distillation and RLVR
- Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
- RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation
- Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
- Self-Distilled Policy Gradient
- Reward Hacking in Rubric-Based Reinforcement Learning
- RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation
- Rubric-Guided Self-Distillation: Post-Training Without Rubric Verifiers
- Online Rubrics Elicitation from Pairwise Comparisons
- Proximal Policy Optimization Algorithms
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- A Survey of On-Policy Distillation for Large Language Models
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