@neural_avb: Locally generating GRPO-like rollouts with my SLM, and using this tiny RM as the rubric. Next I'll be RL training on fr…
Summary
Neural_avb releases a lightweight Answer-eq Reward Model for RL training on QA tasks, claiming 80% agreement with external judge LM and faster than F1/ROUGE/BertScore.
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Cached at: 06/12/26, 04:54 AM
Locally generating GRPO-like rollouts with my SLM, and using this tiny RM as the rubric. Next I’ll be RL training on free form text and QA.
This is
- super fast
- way better than F1/ROGUE/BertScore
- 80% agreement with external judge LM (deepseek)
RL with Unverifiable Rewards!
Yeah! For this one I got GPT to write some rich… I’d normally won’t bother with all these pretty printing/streaming, but since this will all go in a YT video in the end… making things look aesthetically pleasing is one of the side missions.
Let me think about it! I need to first crystallize this philosophy myself
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