AINeutralarXiv – CS AI · 5h ago6/10
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Variation in Verification: Understanding Verification Dynamics in Large Language Models
Researchers analyzed how LLM verifiers assess solution correctness in test-time scaling scenarios, revealing that verification effectiveness varies significantly with problem difficulty, generator strength, and verifier capability. The study demonstrates that weak generators can nearly match stronger ones post-verification and that verifier scaling alone cannot solve fundamental verification challenges.
🧠 GPT-4