Fabio Ciotti

@fabio-ciotti.bsky.social

Professor of DH and Computational Literary Studies @ Tor Vergata University of Roma.

Fabio Ciotti presenta il suo contributo "Una Agenda sull'AI generativa per Digital Humanities", nella Sessione 1A "Intelligenza Artificiale generativa e riflessione teorica".

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A different approach to interpretability. Instead of probing neurons and circuits, *tune* the models to provide "accurate, quantitative descriptions of their own internal processes during certain kinds of decision-making," and then show that this ability generalizes. #MLSky 🤖

Self-Interpretability: LLMs Can Describe Complex Internal Processes that Drive Their Decisions, and Improve with Training

We have only limited understanding of how and why large language models (LLMs) respond in the ways that they do. Their neural networks have proven challenging to interpret, and we are only beginning t...

arxiv.org

With my young colleagues Anna Chiara and Aurora within the Reading the Italian Novel at a Distance (rind.units.it) project, on June 12, 2025, 2 PM, we'll talk about using LLMs for fee indirect discourse identification @aiucd.bsky.social 2025 conference

AIUCD@aiucd.bsky.social · last yr.

We’re now on BlueSky! The Italian Association for DH has just launched its official account! 📅 This is the week of the #AIUCD2025 Conference in Verona: aiucd2025.dlls.univr.it/en-gb/detail... 📡 We’ll be sharing updates and highlights from the conference right here. 🖖 See you soon in Verona!

CfP: Artificial Intelligence and Digital Humanities: Methodological approaches, theories and methods Siena, Nov. 4-5, 2025 Keynote speakers: Fredric Clavert, Fabio Ciotti Interested authors are invited to submit (to fabio.deninno@unisi.it and michele.lacriola@unisi.it) an abstract by May 15, 2025.

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On 21 and 22 November 2024, at the University of Rome, Tor Vergata promoted by the research project ‘Texts of Uncertain Authorship in Thirteenth-century Italian Lyric Poetry’, there will be the conference ‘Attributional Philolology. Computational methods in comparison.

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