3 papers
cs.CL2024
Leveraging Language Models and Bandit Algorithms to Drive Adoption of Battery-Electric Vehicles
Keiichi Namikoshi, David A. Shamma, Rumen Iliev +5
Behavior change interventions are important to coordinate societal action across a wide array of important applications, including the adoption of electrified vehicles to reduce em…
cs.HC2024
On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments
Jingchao Fang, Nikos Arechiga, Keiichi Namaoshi +3
The Wizard of Oz (WoZ) method is a widely adopted research approach where a human Wizard ``role-plays'' a not readily available technology and interacts with participants to elicit…
cs.CL2024
Using LLMs to Model the Beliefs and Preferences of Targeted Populations
Keiichi Namikoshi, Alex Filipowicz, David A. Shamma +3
We consider the problem of aligning a large language model (LLM) to model the preferences of a human population. Modeling the beliefs, preferences, and behaviors of a specific popu…