10 papers
KoRe: Compact Knowledge Representations for Large Language Models
Davide Cavicchini, Fausto Giunchiglia, Jacopo Staiano
Modern Large Language Models (LLMs) have shown impressive performances in user-facing tasks such as question answering, as well as consistent improvements in reasoning capabilities…
Human-LLM Dialogue Improves Diagnostic Accuracy in Emergency Care
Burcu Sayin, Ngoc Vo Hong, Ipek Baris Schlicht +8
Clinical decision-making in emergency medicine demands rapid, accurate diagnoses under uncertainty. Despite benchmark progress, evidence for LLMs as interactive aids in live physic…
ProfVLM: A lightweight video-language model for multi-view proficiency estimation
Edoardo Bianchi, Jacopo Staiano, Antonio Liotta
Most existing approaches formulate action quality assessment and skill proficiency estimation as discriminative prediction tasks, typically producing discrete labels or scores with…
How to Take a Memorable Picture? Empowering Users with Actionable Feedback
Francesco Laiti, Davide Talon, Jacopo Staiano +1
Image memorability, i.e., how likely an image is to be remembered, has traditionally been studied in computer vision either as a passive prediction task, with models regressing a s…
SokoBench: Evaluating Long-Horizon Planning and Reasoning in Large Language Models
Sebastiano Monti, Carlo Nicolini, Gianni Pellegrini +2
Although the capabilities of large language models have been increasingly tested on complex reasoning tasks, their long-horizon planning abilities have not yet been extensively inv…
The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Data
Massimiliano Luca, Ciro Beneduce, Bruno Lepri +1
With the wide and cross-domain adoption of Large Language Models, it becomes crucial to assess to which extent the statistical correlations in training data, which underlie their i…