5 papers
Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness
Amin Banayeeanzade, Ala N. Tak, Fatemeh Bahrani +5
The ability to control LLMs' emulated emotional states and personality traits is an essential step in enabling rich, human-centered interactions in socially interactive settings. W…
Sampling More, Getting Less: Calibration is the Diversity Bottleneck in LLMs
Amin Banayeeanzade, Qingchuan Yang, Dhruv Tarsadiya +6
Diversity is essential for language-model applications ranging from creative generation to scientific discovery, yet modern LLMs often collapse into a narrow subset of plausible ou…
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…
Cross-Platform Narrative Prediction: Leveraging Platform-Invariant Discourse Networks
Patrick Gerard, Luca Luceri, Leonardo Blas +1
Online narratives spread unevenly across platforms, with content emerging on one site often appearing on others, hours, days or weeks later. Existing cross-platform information dif…
Unearthing a Billion Telegram Posts about the 2024 U.S. Presidential Election: Development of a Public Dataset
Leonardo Blas, Luca Luceri, Emilio Ferrara
With its lenient moderation policies and long-standing associations with potentially unlawful activities, Telegram has become an incubator for problematic content, frequently featu…