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University of Wisconsin-Madison
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Progress advantage reveals a powerful, annotation-free scoring mechanism that outperforms traditional reward models in LLM agentic settings.
Forget tweaking prompts – understanding how retrieved context warps an LLM's hidden states is the key to unlocking better RAG performance.
