3 papers
cs.CL2026
Analyzing Repetition and Interference Effects in Memory-Constrained User Simulators
Cara Su-Yi Leong, Nicholas Tomlin, Tal Linzen
User simulators can help evaluate and train AI systems to interact with humans at scale. To do so, evaluation of user simulators must measure behavioral parity with people. We eval…
cs.CL2026
Simulating Human Memory with Language Models
Qihan Wang, Nicholas Tomlin, Michael Hu +2
Language models are increasingly being deployed as user simulators, but their memory is far more reliable than that of real users. To measure this gap, we run a series of classic m…
cs.CL2025
Characterizing Language Use in a Collaborative Situated Game
Nicholas Tomlin, Naitian Zhou, Eve Fleisig +10
Cooperative video games, where multiple participants must coordinate by communicating and reasoning under uncertainty in complex environments, yield a rich source of language data.…