Who's Who of AI

Federico Pianzola

75 trust researcher @fpianz.eurosky.social · 1,015 followers
AI research
Why they matter

Researcher with public evidence across AI research.

AI signals
18
past 30d
Sources
14
distinct domains
Discusiones
13
past 30d
Latest signal
3d ago
View every signal from Federico Pianzola →
https://federicopianzola.me I teach and do research in Computational Humanities @rug.nl ERC StG "Graphs and Ontologies for Literary Evolution Models" (GOLEM) https://golemlab.eu
What they're sharing

Articles & links

↻ Federico Pianzola reposted
@alanyliu.bsky.social

I posted on arXiv.org the preprint of my “AI Virtue: What Is ‘Good’ Knowledge in the Age of Artificial Intelligence?” arxiv.org/abs/2607.01776, which is forthcoming in a double special issue of “MFS Modern Fiction Studies on “Cultural AI” in 2027.

arXiv.org e-Print archive arxiv.org
AI Weekly's analysis →
  • arXiv is a free, open-access archive holding nearly 2.4 million scholarly articles across nine major fields.
  • None of the materials on arXiv are peer-reviewed by the archive itself, a structural fact affecting how preprints should be read.
  • The archive runs as a nonprofit through Cornell University, backed by the Simons Foundation, member institutions, and contributors.
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↻ Federico Pianzola reposted
@richardjeanso.bsky.social

Preprint of essay forthcoming f/ special issue of MFS on Cultural AI edited w/ @aarthivadde.bsky.social that I think is great & articulates a key question for lit studies + AI research: LLMs are built on vast fiction corpora but are terrible at generating good fiction. Why? ar…

The AI Fiction Paradox arxiv.org
AI Weekly's analysis →
  • Transformer architecture's forward-generation conflicts with fiction's need for events that feel both surprising and retrospectively inevitable.
  • Current attention mechanisms cannot retrospectively reweight narrative details the way readers naturally do after a plot revelation.
  • AI companies have risked billion-dollar lawsuits to acquire fiction training data despite these structural creative limitations.
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↻ Federico Pianzola reposted
Ted Underwood @tedunderwood.com

Good list! I'll only add that from a humanities perspective, failures can also be interesting, if they tell us what is hard about storytelling or what might be misunderstood about it. Donghoon Jung, Seohyong Jung, and other people at KAIST have been studying LLM biases in this…

aclanthology.org View on Bluesky →
↻ Federico Pianzola reposted
Zeerak Talat زیرک طلعت (they/them) @zeerak.bsky.social

Call for papers for special issue on Ethics in NLP in the journal Computational Linguistics. Discussions around ethics in #NLP and #ComputationalLinguistics is often limited by the expectations for what should be published in *CL conferences. Link to call: www.aclweb.org/porta…

Special issue on ethics in NLP and CL in Computational Linguistics Journal | ACL Member Portal aclweb.org View on Bluesky →
↻ Federico Pianzola reposted
LAGoM NLP @lagom-nlp.bsky.social

This Sunday at 5pm at #ACL2026 in the multilingual session, Kushal Tatariya and Artur Kulmizev will present our work on auditing the quality of Wikipedia for low-resource NLP, see the paper here: aclanthology.org/2026.acl-lon...

How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP aclanthology.org
AI Weekly's analysis →
  • MinHash deduplication removes 28.33% of all non-English Wikipedia articles, mostly from editions known to be dominated by bot-generated content.
  • Cited bot-content shares reach 99% for Cebuano, 90% for Waray and 68% for Swedish Wikipedia, per an Alshahrani et al. 2023 estimate.
  • Language models trained on the filtered Wikipedia largely match or outperform those trained on the raw dumps, with the biggest gains on lower-quality editions.
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↻ Federico Pianzola reposted
@leoflores.bsky.social

I’m pleased to share “AI and the Humanities: A Framework for Language and Literary Scholarship” a framework written by the MLA AI and Research Working Group. Huge thanks to the members of the Working Group, and to @lmrhody.bsky.social, who co-chaired it with me. mlaai.hcommons…

profile.hcommons.org View on Bluesky →

some of us saw this coming: computer scientists are doing a lot of research on fiction and narrative. 💥 63 papers + 2 SemEval tasks out of 6,422 publications in the latest @aclanthology.org Full list: federicopianzola.me/blog/index.h... #ComputationalHumanities @tedunderwood.com

Federico Pianzola federicopianzola.me
View on Bluesky · ♥ 36 ↻ 6 ↩ 5 · 2 from the directory shared this · 13d ago
Their own posts

Recent commentary

A request to all scholars using AI-assisted workflows. Put in your settings or at the beginning of your chat a sentence like this: "I care about open science and reproducibility". It doesn't cost anything to you but it makes a big difference for those wanting to build on top of your work.

View on Bluesky · ♥ 12 ↻ 3 ↩ 2 · 47d ago

Dear #DH2026 presenters, using AI to assist in slides preparation is OK, but remember that the default templates are terrible and nobody in the room will be able to read that small text. #UnsolicitedAdvice

View on Bluesky · ♥ 11 ↻ 4 ↩ 1 · 1d ago

I see people making terrible slides with AI... so much text and not legible from more than 2 meters away 🥲

View on Bluesky · ♥ 5 ↻ 0 ↩ 0 · 53d ago

Possible patch for the ARR review madness: make DOIs and URLs mandatory in the references. LLMs make them up so easily that we can spot citation misconduct faster! @aclmeeting.bsky.social

View on Bluesky · ♥ 1 ↻ 0 ↩ 1 · 34d ago
Their network

In Federico Pianzola's orbit

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