Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains

In three linesK2V extends reinforcement learning with verifiable rewards (RLVR) to knowledge-intensive domains through automated verifiable data synthesis and verification of LLM reasoning processes. Experiments demonstrate improved reasoning in these domains without significant degradation of general capabilities.

Summary generated by Claude — human-verified