3 papers
cs.CV2026
From Instructions to Assistance: a Dataset Aligning Instruction Manuals with Assembly Videos for Evaluating Multimodal LLMs
Federico Toschi, Nicolò Brunello, Andrea Sassella +2
The recent advancements introduced by Large Language Models (LLMs) have transformed how Artificial Intelligence (AI) can support complex, real world tasks, pushing research outside…
cs.LG2026
Are complicated loss functions necessary for teaching LLMs to reason?
Gabriele Carrino, Andrea Sassella, Nicolo Brunello +2
Recent advances in large language models (LLMs) highlight the importance of post training techniques for improving reasoning and mathematical ability. Group Relative Policy Optimiz…
cs.CL2025
InTraVisTo: Inside Transformer Visualisation Tool
Nicolò Brunello, Davide Rigamonti, Andrea Sassella +2
The reasoning capabilities of Large Language Models (LLMs) have increased greatly over the last few years, as have their size and complexity. Nonetheless, the use of LLMs in produc…