AIBullisharXiv – CS AI · May 127/10
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Do LLMs Experience an Internal Polylogue? Investigating Reasoning through the Lens of Personas
Researchers demonstrate that large language models encode behavioral traits as linear directions in activation space called "persona vectors," which can be monitored and manipulated during reasoning. By treating these vectors as dynamic signals over generation time—termed "polylogue"—they achieve competitive accuracy prediction on MMLU-Pro while enabling stage-aware latent steering that improves model performance.