Niccolò Campolungo

61 posts

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Niccolò Campolungo

Niccolò Campolungo

@Valahaar

Decoding the future @ Litus AI ~ NLP PhD @ Sapienza - Engineer at heart - he/him.

Roma Beigetreten Ocak 2012
126 Folgt106 Follower
Michael Feldstein
Michael Feldstein@msfeldstein·
One of the things I've been working on at @cursor_ai is beefing up Cursor Rules. We want Agent to be as powerful as the most knowledgable person on your team. Here's how we use them at Cursor. 🧵
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Valentino Maiorca
Valentino Maiorca@ValeMaiorca·
📢 It looks like relative representations are here to stay! I'm beyond thrilled to announce that our work has been selected as one of the notable top 5% (oral) papers at #iclr23 ! 🥳 twitter.com/moschella_luca… [1/5]
Luca Moschella@moschella_luca

Welcome Relative Representations, enabling zero-shot communication between latent spaces without any training! arxiv.org/abs/2209.15430 It turns out that distinct neural networks learn intrinsically equivalent latent spaces [1/6]

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Pere-Lluís Huguet Cabot
Pere-Lluís Huguet Cabot@PereLluisHC·
Great to wake up on a lazy Sunday and see REBEL is still doing numbers. This is the page for top seq2seq models at @huggingface, currently top 12 with 200K monthly downloads. Thank you to whomever is using it and honestly curious to know what people are using it for.
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Iacobacci et al.
Iacobacci et al.@iiacobacNLP·
Bravo ragazzi
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Niccolò Campolungo
Niccolò Campolungo@Valahaar·
Presenting in front of a live audience was an amazing experience :) hope we nailed it! Thanks @aclmeeting
ACL 2026@aclmeeting

#acl2022 nlp Best Resource Paper DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation (Niccolò Campolungo, Federico Martelli, Francesco Saina and Roberto Navigli) #acl2022 #NLProc

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Rik van Noord
Rik van Noord@rikvannoord·
@aclmeeting Could you add links to the PDFs on the website, to save us all some time?
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SapienzaNLP
SapienzaNLP@SapienzaNLP·
🥳 We are proud to share the news that our DiBiMT paper on Disambiguation Biases in MT received the ✨Best Resource Paper Award✨ @aclmeeting #ACL2022! See you there!
SapienzaNLP@SapienzaNLP

Open & commercial Neural Machine Translation models heavily suffer from disambiguation biases! We present DiBiMT, our novel benchmark for lexical-semantic bias in MT at #ACL2022! By @Valahaar @FedeMartelli25 @FrancescoSaina @RNavigli @ELEXIS_EU #NLProc 📝:researchgate.net/publication/35…

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Niccolò Campolungo
Niccolò Campolungo@Valahaar·
We will present DiBiMT on the 25th, during the Best Paper Oral Session at 14.45 Dublin time! Or, you can come have a chat during Poster Session 6: Resources and Evaluation on the same day, from 10:45 to 12:15! Come say hi 👋😄 7/7
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Niccolò Campolungo
Niccolò Campolungo@Valahaar·
- (neural) models are pretty confident of their incorrect translations: >90% of the time, they deem their BAD❌ translation better than a GOOD ✅ one! - In neural Transformer models, disambiguation does not seem to be happening on the encoder side 🤔 6/7
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Entdecken

@peternixey @msfeldstein @cursor_ai @19Stefano97 @LorenzoProiet13 @alescire94 @RNavigli @babelscape