2 papers
cs.CL2026
Rating the Pitch, Not the Product: User Evaluations of LLMs Reflect Expectations More Than Performance
Robert Morabito, Tyler McDonald, Charitra Viswanath +4
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 rat…
cs.CL2025
Personality Matters: User Traits Predict LLM Preferences in Multi-Turn Collaborative Tasks
Sarfaroz Yunusov, Kaige Chen, Kazi Nishat Anwar +1
As Large Language Models (LLMs) increasingly integrate into everyday workflows, where users shape outcomes through multi-turn collaboration, a critical question emerges: do users w…