activity
20242026
collaborators

8 papers

cs.AI2026

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…

cs.CL2026

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…

cs.HC2026

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…

cs.SI2026

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…

cs.CL2025

GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences

Priyanka Dey, Daniele Rosa, Wenqing Zheng +3

Personalization in LLMs often relies on costly human feedback or interaction logs, limiting scalability and neglecting deeper user attributes. To reduce the reliance on human annot…

cs.CL2025

Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment

Priyanka Dey, Yugal Khanter, Aayush Bothra +2

As LLMs become central to interactive applications, ranging from tutoring to mental health, the ability to express personality in culturally appropriate ways is increasingly import…

cs.CL2025

Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Cultural Intelligence with CQ-Bench

Ziyi Liu, Priyanka Dey, Jen-tse Huang +6

Cultural Intelligence (CQ) refers to the ability to understand unfamiliar cultural contexts, a crucial skill for large language models (LLMs) to effectively engage with globally di…

cs.SI2024

Coordinated Activity Modulates the Behavior and Emotions of Organic Users: A Case Study on Tweets about the Gaza Conflict

Priyanka Dey, Luca Luceri, Emilio Ferrara

Social media has become a crucial conduit for the swift dissemination of information during global crises. However, this also paves the way for the manipulation of narratives by ma…