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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.AI2026
FALSIFYBENCH: Evaluating Inductive Reasoning in LLMs with Rule Discovery Games
Leonardo Bertolazzi, Katya Tentori, Raffaella Bernardi
Large language models (LLMs) are increasingly deployed as autonomous agents in scientific tasks. Yet whether these systems can effectively engage in forms of inductive reasoning re…