5 papers
Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactions
Pedro Henrique Luz de Araujo, Michael A. Hedderich, Ali Modarressi +2
Persona-assigned large language models (LLMs) are used in domains such as education, healthcare, and sociodemographic simulation. Yet, they are typically evaluated only in short, s…
Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance
Pedro Henrique Luz de Araujo, Paul Röttger, Dirk Hovy +1
Expert persona prompting -- assigning roles such as expert in math to language models -- is widely used for task improvement. However, prior work shows mixed results on its effecti…
Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior
Pedro Henrique Luz de Araujo, Benjamin Roth
One way to personalize and steer generations from large language models (LLM) is to assign a persona: a role that describes how the user expects the LLM to behave (e.g., a helpful…
Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles
Yuxi Xia, Pedro Henrique Luz de Araujo, Klim Zaporojets +1
Calibration, the alignment between model confidence and prediction accuracy, is critical for the reliable deployment of large language models (LLMs). Existing works neglect to meas…
Specification Overfitting in Artificial Intelligence
Benjamin Roth, Pedro Henrique Luz de Araujo, Yuxi Xia +2
Machine learning (ML) and artificial intelligence (AI) approaches are often criticized for their inherent bias and for their lack of control, accountability, and transparency. Cons…