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Ivan Vulić

@licwu

Research Prof@Cambridge; Interested in (way) too many things, but mostly (and rarely) (re)tweets about NLP, ML, IR, language(s); (likes parentheses)
327 Following 2.2K Followers 206 Posts

Latest posts 5

Ivan Vulić @licwu
We've got plenty of exciting ideas flying around, so consider applying to carve them further with us!
I am hiring a Student Researcher for our Modularity team at the Google DeepMind office in Zurich🇨🇭

Please fill out the interest form if you would like to work with us! The role would start mid/end 2025 and would be in-person in Zurich with 80-100% at GDM
forms.gle/N94ViTmKHCCAcv…
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Ivan Vulić @licwu
As someone who spent years working in multilingual NLP, I am so happy that we're finally seeing (L)LMs and (N)MT systems working in tandem towards the shared cause. The idea in this work is so simple & sweet, and yet it moves! 🌍🌏🌎
Introducing NLLB-LLM2Vec! 🚀

We fuse the NLLB encoder & Llama 3 8B trained w/ LLM2Vec to create NLLB-LLM2Vec which supports cross-lingual NLU in 200+ languages🔥

Joint work w/ Philipp Borchert, @licwu, and @gg42554 during my great research stay at @cambridgeltl
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Ivan Vulić @licwu
If we align LLMs through preferences, perhaps we should also evaluate them the same way (and respect transitivity)? The answer is: yes, we should. The trick, however, is how to make evaluation tractable. If you are into the whole "LLM-as-Judges" line of work, check this paper!
Yinhong Liu @YinhongLiu2 Apr 11, 2024
🔥New paper!📜
Struggle to align LLM evaluators with human judgements?🤔
Introducing PairS🌟: By exploiting transitivity, we push the potential of pairwise preference in efficient ranking evaluations that has better alignment!🧑‍⚖️
📖arxiv.org/abs/2403.16950
💻github.com/cambridgeltl/p…
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Ivan Vulić @licwu
Think globally, act locally? Well, we were thought-experimenting whether LLMs would understand people from different places around our hometowns better than we ever might... And then we have eventually decided to make an actual (non-thought) experiment out of these thoughts! 👇👇
Interested in commonsense reasoning in dialectal texts? The DIALECT-COPA shared task is the perfect fit for you, providing train and dev data for four official South-Slavic languages and two out of three related test dialects sites.google.com/view/vardial-2… @vardialworkshop @naaclmeeting
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