4 papers · 1 filter
MetaPersona: Task-Grounded Synthetic Populations from Empirical Social Science
Jinyi Ye, Yuangang Li, Chenxiao Yu +7
Personas used to seed LLM social simulations face a cold-start problem: existing methods lack a principled basis for deciding which attributes to include and how to assign their va…
PALMs: Using Multi Construct-Grounded Rationales for Modeling Population Preferences in LLMs
Priyanka Dey, Brihi Joshi, Preyashi Poddar +2
Large language models are being extensively used to simulate individual user behavior, yet faithfully representing a population requires capturing the systematic variation in value…
RLHF May Not Reflect Genuine Preferences
Bijean Ghafouri, Eun Cheol Choi, Priyanka Dey +1
Reinforcement Learning from Human Feedback (RLHF) assumes that annotation responses reflect genuine human preferences. They often do not. Behavioral scientists have documented for…
Israel-Hamas War on X: A Case Study of Coordinated Campaigns and Information Integrity
Tuğrulcan Elmas, Filipi Nascimento Silva, Manita Pote +8
Coordinated campaigns on social media play a critical role in shaping crisis information environments, particularly during the onset of conflicts when uncertainty is high and verif…