Lucia Domenichelli @workerplacemint
PhD student at @italiaNLP_lab(ILC-CNR) All things physics and music :) (and #langtwt) ldomenichelli.github.io Joined February 2022-
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Following90
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Lucia Domenichelli retweeted
From August 05 to August 15, l'@IES_Cargese will be hosting "Statisticial Physic and Machine Learning : Moving Forward" organized by Florent Krzakala & Lenka Zdeborova @KrzakalaF @zdeborova @UnivCorse @Univ_CotedAzur @CNRS_dr12 @EPFL
Lucia Domenichelli retweeted
That’s a wrap for @aclmeeting 2025! 🎉 We presented 4 papers, had great discussions, and lots of fun at the poster sessions. Thanks to everyone who stopped by, see you next time! #ACL2025NLP #NLProc
Lucia Domenichelli retweeted
[1/4] 🚀 Next week, @workerplacemint and I will present our paper “From Human Reading to NLM Understanding: Evaluating the Role of Eye-Tracking Data in Encoder-Based Models” at @aclmeeting! 👉 With D. Brunato & F. Dell'Orletta (@ItaliaNLP_Lab) 🔗 aclanthology.org/2025.acl-long.…
Lucia Domenichelli retweeted
📣 Next week I’ll be at @aclmeeting with three papers: one at the main conference and two in the Findings! At the main conference, I’ll present: “Evaluating Lexical Proficiency in Neural Language Models” (with Ciaccio C. and Dell’Orletta F.) 🔗 aclanthology.org/2025.acl-long.… 🧵(1/5)
Lucia Domenichelli retweeted
🎉 Great news! We got 9 papers accepted at CLiC-it 2025! Looking forward to presenting them this year in Cagliari! 🇮🇹 #CLiCit2025 #NLProc @CLiC_it_conf @AILC_NLP
#ikeda xₙ₊₁ = 1 + u·(xₙ·cos t – yₙ·sin t) yₙ₊₁ = u·(xₙ·sin t + yₙ·cos t) t = 0.4 – 6 / (1 + xₙ² + yₙ²)
Lucia Domenichelli retweeted
most foundational concept in deep learning that no one understands is probably the Neural Tangent Kernel (NTK) this line of work studies neural networks of *infinite width*, which explain a lot about normal finite-width NNs and there is exactly one Very Good blog post on them:
#svenson xₙ₊₁ = d·sin(a·xₙ) – sin(b·yₙ) yₙ₊₁ = c·cos(a·xₙ) + cos(b·yₙ)
Lucia Domenichelli retweeted
🧵1/ Machine-Generated Text (MGT) detection is failing. Our paper, accepted at Findings of ACL 2025, shows that LLMs can easily fool generated-text detectors. arxiv.org/abs/2505.24523 @pdrndr, Cristiano Ciaccio, @AlessioMiaschi, @gpuccetti92, Felice dell'Orletta, Andrea Esuli
#hopalong xₖ₊₁ = yₖ − sign(xₖ)·√|b·xₖ − c| yₖ₊₁ = a − xₖ
Lucia Domenichelli retweeted
I’m stoked to share our new paper: “Harnessing the Universal Geometry of Embeddings” with @jxmnop, Collin Zhang, and @shmatikov. We present the first method to translate text embeddings across different spaces without any paired data or encoders. Here's why we're excited: 🧵👇🏾
Lucia Domenichelli retweeted
Exciting news!🔥 We got 4 papers accepted at #ACL2025NLP: 2 at the main conference and 2 in the Findings! See you in Vienna! 🎉 @aclmeeting #NLPRoc Details in the thread 👇
Lucia Domenichelli retweeted
my 2025 ai twitter experience
Lucia Domenichelli retweeted
Just realized the @CERN published the video recording of my entropy/llm conference. cds.cern.ch/record/2916519
Just realized the @CERN published the video recording of my entropy/llm conference. cds.cern.ch/record/2916519 https://t.co/RGanJnTsfQ
Lucia Domenichelli retweeted
Many have used libgen to download books illegally. Recently libgen had been taken down, and I feel so relieved that people are not committing any crimes just because they want to read. I want to create awareness that we should not use such websites ( cont.)
Lucia Domenichelli retweeted
The series of three Simons Lectures I gave in MIT Math last April is now on YouTube. If you want to hear about *Computation through the lens of spin glasses*, have a look: youtube.com/watch?v=94XXGG…
Lucia Domenichelli retweeted
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures New review out with @ninamiolane, co-led by myself, @johmathe & @mathildepapillo Check out our visual taxonomies of non-Euclidean structure in data & ML models
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