AINeutralarXiv – CS AI · 7h ago6/10
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When Does a Language Model Commit? A Finite-Answer Theory of Pre-Verbalization Commitment
Researchers developed a method to measure when language models stabilize their answer preferences during generation, before explicitly verbalizing a final answer. Using finite-answer projection analysis on the Qwen3-4B-Instruct model, they found answer preferences stabilize 17-31 tokens before the model states its answer, revealing the internal commitment dynamics of LLM reasoning.