RESEARCHMonitorWATCHLIST
SIPO: Unifying Reinforcement Learning with On-Policy Self-Distillation
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose SIPO, unifying reinforcement learning with on-policy self-distillation to improve token-level LLM credit assignment.
Inspect the evidence
- Inclusion basis
- AI in finance
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 30 September 2026
- Collected by OneBench
- 1 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2609.36742v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has become a standard paradigm for improving large language models (LLMs) on various tasks,…
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