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cs.CL2025★ 17 cited
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental
Roberto Balestri
This study evaluates the biases in Gemini 2.0 Flash Experimental, a state-of-the-art large language model (LLM) developed by Google, focusing on content moderation and gender dispa…
cs.CL2025
Multi-Agent System for AI-Assisted Extraction of Narrative Arcs in TV Series
Roberto Balestri, Guglielmo Pescatore
Serialized TV shows are built on complex storylines that can be hard to track and evolve in ways that defy straightforward analysis. This paper introduces a multi-agent system desi…