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All SourcesarXiv
#relative accuracy gain

Tool Verification for Test-Time Reinforcement Learning

Intermediate
Ruotong Liao, Nikolai RΓΆhrich et al.Mar 2arXiv

The paper fixes a big flaw in test-time reinforcement learning (TTRL): when many wrong answers agree, the model rewards the mistake and gets stuck.

#test-time reinforcement learning#verification-weighted voting#tool verification