Generating Data-Driven Reasoning Rubrics for Domain-Adaptive Reward Modeling

Kate Sanders, Nathaniel Weir, Sapana Chaudhary +2

An impediment to using Large Language Models (LLMs) for reasoning output verification is that LLMs struggle to reliably identify errors in thinking traces, particularly in long out…