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RLFR: Flow Rewards for Better LLM Reasoning
In this AI Research Roundup episode, Alex discusses the paper: 'RLFR: Extending Reinforcement Learning for LLMs with Flow Environment' This work tackles a key RLVR limitation: outcome-only (binary) verification suppresses exploration in reasoning trajectories. RLFR introduces dense, process-level rewards by constructing a flow environment over ...
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