2 citations · 2 across the 9 of their papers we have counts for
7 papers · 1 filter
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…
QuantiBias: Benchmarking Quantization-Induced Bias in LLMs
Emilio Ferrara
Almost every large language model that reaches a broad audience is quantized: trained in full precision, then compressed for efficiency. This step is assumed harmless and its safet…
Psychological Steering of Large Language Models
Leonardo Blas, Robin Jia, Emilio Ferrara
Large language models (LLMs) emulate a consistent human-like behavior that can be shaped through activation-level interventions. This paradigm is converging on additive residual-st…
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…
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…
Political-LLM: Large Language Models in Political Science
Lincan Li, Jiaqi Li, Catherine Chen +44
In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and mis…
A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science
Chenxiao Yu, Jinyi Ye, Yuangang Li +4
While LLMs have demonstrated remarkable capabilities in text generation and reasoning, their ability to simulate human decision-making -- particularly in political contexts -- rema…