3 papers
cs.CL2026
Different Facets of Verbalised Overconfidence: an Interpretability Study
Davide Mazzaccara, Leonardo Bertolazzi, Raffaella Bernardi
Large language models tend to overconfidence, giving assertive answers when the evidence suggests hedging or abstention. Using controlled reasoning scenarios that manipulate logica…
cs.CL2025
Playpen: An Environment for Exploring Learning Through Conversational Interaction
Nicola Horst, Davide Mazzaccara, Antonia Schmidt +13
Interaction between learner and feedback-giver has come into focus recently for post-training of Large Language Models (LLMs), through the use of reward models that judge the appro…
cs.CL2024
Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain
Davide Mazzaccara, Alberto Testoni, Raffaella Bernardi
Questions are essential tools for acquiring the necessary information to complete information-seeking tasks. However, large language models (LLMs), especially open-source models, o…