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Ali Emami

2 papers indexed

arxivcs.CLcs.AI2026-07-14

What Models Express, Suppress, and Resist: Auditing Open-Weight LLMs with Persona Vectors

Winston Zeng, Ali Emami, Jinho D. Choi

What a language model will and will not do is largely set during post-training, but which behaviors it expresses, hides, or resists is not revealed by prompting alone. Persona vectors, behavioral directions in activation space, can probe this organization, but prior work covers o…

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arxivcs.CLcs.CYcs.HC2026-07-06

Rating the Pitch, Not the Product: User Evaluations of LLMs Reflect Expectations More Than Performance

Robert Morabito, Tyler McDonald, Charitra Viswanath, Angel Hsing-Chi Hwang, Susanne Gaube, Jad Kabbara, et al.

Imagine two users interact with the same LLM. One has been told it is the cutting-edge flagship model; the other, an older, weaker model. They walk away with markedly different ratings of its usefulness and intelligence, yet they used the same model. In a controlled study, 162 pa…

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