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Happy to share our latest preprint with @apopescubelis : "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation"
📝preprint: arxiv.org/abs/2401.06688
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Giorgos Vernikos
126 posts
Giorgos Vernikos
@gvernikos
ML SWE @googledeepmind Gemini in🇨🇭. Prev @EPFL, @Google, @AmazonScience and @ecentua
Lausanne, Switzerland Katılım Mart 2016
327 Takip Edilen268 Takipçiler
Nelly is amazing! I can’t recommend working with her enough !!!
Nelly Papalampidi@pinelopip3
Are you interested to join @GoogleDeepMind as a student researcher (PhD students)? I am hiring for a fun project on reward modeling for world models! If you are interested on video understanding/generation and reward models/critiquing, get in touch and apply below! 👇
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Giorgos Vernikos retweetledi
If you’re at @iclr_conf this week, come check out our spotlight poster INCLUDE during the Thursday 3:00–5:30pm session!
I will be there to chat about all things multilingual & multicultural evaluation.
Feel free to reach out anytime during the conference. I’d love to connect!
Angelika Romanou@agromanou
🚀 Introducing INCLUDE 🌍: A multilingual LLM evaluation benchmark spanning 44 languages! Contains *newly-collected* data, prioritizing *regional knowledge*. Setting the stage for truly global AI evaluation. Ready to see how your model measures up? #AI #Multilingual #LLM #NLProc
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Giorgos Vernikos retweetledi
Disappointed with #ICLR or #NAACL reviews? Consider submitting your work at #Repl4NLP @naaclmeeting , whether it's full papers, extended abstracts, or cross-submissions. 🔥
Details on submissions 👉 sites.google.com/view/repl4nlp2…
⏰ Deadline January 30
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Giorgos Vernikos retweetledi
📢📢 Call for papers
#Repl4NLP @naaclmeeting
Consider submitting your work -full papers, extended abstracts, or cross-submissions!
✨ Direct paper submission deadline: Jan 30, 2025
✨ ARR commitment deadline: Feb 20, 2025
More details on our website: sites.google.com/view/repl4nlp2…
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Giorgos Vernikos retweetledi
We are organizing Repl4NLP 2025 along with @fredahshi @gvernikos @vaibhav_adlakha @xiang_lorraine @mbodhisattwa. The workshop will be co-located with NAACL 2025 in Albuquerque, New Mexico and we plan to have a great panel of speakers.
Consider submitting your coolest work!
SIGREP@sigrep_acl
📢📢 Call for papers #Repl4NLP @naaclmeeting Consider submitting your work -full papers, extended abstracts, or cross-submissions! ✨ Direct paper submission deadline: Jan 30, 2025 ✨ ARR commitment deadline: Feb 20, 2025 More details on our website: sites.google.com/view/repl4nlp2…
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Giorgos Vernikos retweetledi
Paper #2: Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization
Link: aclanthology.org/2024.mrl-1.7/
Ever wondered how we can do LLM weight arithmetic to enable models to handle tasks in languages in zero shot style? The authors have a solution.
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Giorgos Vernikos retweetledi
🚀 We've released the Lite version of Global-MMLU!
✅ Faster, easier evaluation
✅ Balanced culturally sensitive and culturally agnostic knowledge
Try it at 🤗: huggingface.co/datasets/Coher…
Sara Hooker@sarahookr
We have released Global-MMLU-lite 🔥 This is designed to run more efficiently while giving a good estimate of overall performance -- which balances both culturally sensitive and culturally agnostic examples. 🎉 huggingface.co/datasets/Coher…
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Giorgos Vernikos retweetledi
Introducing Global-MMLU🌍: A multilingual benchmark featuring MMLU translations in 42 languages crafted with:
✅ Human curation
✅ Extensive metadata
✅ Insights into cultural sensitivity
Proud to have collaborated with @singhshiviii and @CohereForAI to bring this work to life!
Shivalika Singh@singhshiviii
Today, we’re excited to share Global-MMLU 🌍: a multilingual LLM benchmark covering MMLU translations in 42 languages -- combined with improved quality through human curation and extensive metadata on what questions are culturally sensitive 🗽
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Giorgos Vernikos retweetledi
🚀 Introducing INCLUDE 🌍: A multilingual LLM evaluation benchmark spanning 44 languages!
Contains *newly-collected* data, prioritizing *regional knowledge*.
Setting the stage for truly global AI evaluation.
Ready to see how your model measures up?
#AI #Multilingual #LLM #NLProc
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Giorgos Vernikos retweetledi
Super excited - we received ✨✨best paper award ✨✨ for our paper at the Multilingual Representation Learning workshop #EMNLP2024!!! This was a fun internship project thanks to @seb_ruder @priyanka_17 and @cindyxinyiwang @PfeiffJo @maynez_joshua!
Alexandra Chronopoulou@alexandraxron
Can we achieve effective zero-shot summarization by combining language & task information from existing PEFT adapters with weight arithmetic? Our paper, accepted at the @mrl2024_emnlp workshop #EMNLP2024, explores this question! A 🧵:
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Giorgos Vernikos retweetledi
I am in Miami 🌴 attending #EMNLP2024! Tomorrow I will be presenting my @GoogleDeepMind internship paper at the @mrl2024_emnlp workshop at 11:00am (poster session) and as an oral at 2:30pm! If you are still around and interested in multilingual model merging, stop by!🎉
Alexandra Chronopoulou@alexandraxron
Can we achieve effective zero-shot summarization by combining language & task information from existing PEFT adapters with weight arithmetic? Our paper, accepted at the @mrl2024_emnlp workshop #EMNLP2024, explores this question! A 🧵:
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Giorgos Vernikos retweetledi
Can neural networks reason like pointcloud registration algorithms?
Excited to share our latest paper, "NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms", with @PetarV_93, @d_d_martini, and @kula78!
arxiv.org/abs/2410.11031
More info below 🤖
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Giorgos Vernikos retweetledi
Can we achieve effective zero-shot summarization by combining language & task information from existing PEFT adapters with weight arithmetic?
Our paper, accepted at the @mrl2024_emnlp workshop #EMNLP2024, explores this question! A 🧵:
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Ελληνικά
📣Life update! Happy to share that I have successfully defended my PhD thesis! 🎓🥳🥳
A big thank you to my advisor Alex Fraser and my committee @LukeZettlemoyer @licwu @albrechtschmidt for their feedback and a very interesting discussion!
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I am in Bangkok 🇹🇭 attending #ACL2024NLP! Tomorrow at 10:00 during Poster Session 4, I'll be presenting our work QE-fusion. If you're interested in translation, LLMs, and quality estimation, stop by for a chat!
Giorgos Vernikos@gvernikos
Happy to share our latest preprint with @apopescubelis : "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation" 📝preprint: arxiv.org/abs/2401.06688
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🦋Life updates!
1/ I finally got my PhD (with no corrections🥹)!!! Can’t thank enough my advisor @nikaletras for his support in the last 4.5 years. 🙏🏻
2/ Since Jan. 2024 I’ve joined the AWS Bedrock Agents team in NYC as an applied scientist!
Nikos Aletras@nikaletras
Congratulations to Dr. Katerina (@katemargatina) who passed her PhD viva today with no corrections!! 🎉🥳 Katerina has made very important contributions to active learning for NLP, including contrastive-based acquisition!
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Giorgos Vernikos retweetledi
Congratulations to Dr. Katerina (@katemargatina) who passed her PhD viva today with no corrections!! 🎉🥳
Katerina has made very important contributions to active learning for NLP, including contrastive-based acquisition!
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🚨 Excited to announce that our QE-fusion paper has been accepted to the #ACL2024NLP main conference! 🎉 See you all in Bangkok!! 🇹🇭
📰 camera-ready: arxiv.org/abs/2401.06688
Giorgos Vernikos@gvernikos
Happy to share our latest preprint with @apopescubelis : "Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation" 📝preprint: arxiv.org/abs/2401.06688
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Giorgos Vernikos retweetledi
#ICML2024 Paper 📣. tl;dr: a theoretical analysis of the minima of various contrastive learning losses + a novel loss family (seamless plugin) inspired by our theory, w/ robust & consistent downstream performance improvements. With @pakoromilas,
@tyiannak,@MihalisAN, Y. Panagakis
Panagiotis Koromilas@pakoromilas
What do different contrastive learning (CL) losses actually optimize for? In our #ICML2024 paper, we provide a theoretical analysis and propose two loss functions that outperform conventional CL losses. Full paper here: arxiv.org/abs/2405.18045 w/@gbouritsas A thread 🧵
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Giorgos Vernikos retweetledi
LLMs become omnipresent, yet their deployment prevails in the cloud, threatening openness and user #privacy. As consumer devices get increasingly powerful, and smaller #open architectures are broadly available, a repo of #mobile-centric #LLMs is timely: github.com/stevelaskaridi…
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