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Tom Kocmi

@kocmitom.bsky.social
284 followers 108 following 30 posts

Researcher at Cohere | Multilingual LLM evaluation

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Tom Kocmi @kocmitom.bsky.social · 14/03/2026
We'd like to officially announce the 21st iteration of the WMT General Machine Translation shared task and invite you to participate. Here is the list of main changes:
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Reposted by Tom Kocmi
Cohere Labs @cohereforai.bsky.social · 30/10/2025
How well do LLMs handle multilinguality? 🌍🤖 🔬We brought the rigor from Machine Translation evaluation to multilingual LLM benchmarking and organized the WMT25 Multilingual Instruction Shared Task spanning 30 languages and 5 subtasks.
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Reposted by Tom Kocmi
Julia Kreutzer @juliakreutzer.bsky.social · 08/10/2025
Ready for our poster today at #COLM2025! 💭This paper has had an interesting journey, come find out and discuss with us! @swetaagrawal.bsky.social @kocmitom.bsky.social Side note: being a parent in research does have its perks, poster transportation solved ✅
A poster attached to a kid's bike seat
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Tom Kocmi @kocmitom.bsky.social · 16/09/2025
🚩Machine Translation is far from “solved” - the test sets just got too easy. 🚩 Yes, the systems are much stronger. But the other half of the story is that test sets haven’t kept up. It’s no longer enough to just take a random news article and expect systems to stumble.
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Tom Kocmi @kocmitom.bsky.social · 28/08/2025
🚀 Thrilled to share what I’ve been working on at Cohere! What began in January as a scribble in my notebook “how challenging would it be...” turned into a fully-fledged translation model that outperforms both open and closed-source systems, including long-standing MT leaders.
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Tom Kocmi @kocmitom.bsky.social · 23/08/2025
📊 Preliminary ranking of WMT 2025 General Machine Translation benchmark is here! But don't draw conclusions just yet - automatic metrics are biased for techniques like metric as a reward model or MBR. The official human ranking will be part of General MT findings at WMT. arxiv.org/abs/2508.14909
arxiv.org
Preliminary Ranking of WMT25 General Machine Translation Systems
We present the preliminary ranking of the WMT25 General Machine Translation Shared Task, in which MT systems have been evaluated using automatic metrics. As this ranking is based on automatic evaluati...
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Tom Kocmi @kocmitom.bsky.social · 26/06/2025
Hey, hey! 🎉 We’ve released the blind test set for this year’s WMT General MT and multilingual instruction tasks. Submit your systems to the special 20th anniversary of the conference and see how you compare to others! The deadline is next week on 3rd July. www2.statmt.org/wmt25/
www2.statmt.org
WMT 2025
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Tom Kocmi @kocmitom.bsky.social · 17/04/2025
Tired of messy non-replicable multilingual LLM evaluation? So were we. In our new paper, we experimentally illustrate common eval. issues and present how structured evaluation design, transparent reporting, and meta-evaluation can help us to build stronger models.
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Tom Kocmi @kocmitom.bsky.social · 28/03/2025
☀️ Summer internship at Cohere! Are you excited about multilingual evaluation, human judgment, or meta-eval? Come help us explore how a rigorous eval really looks like while questioning the status quo in LLM evaluation. I’m looking for an intern (EU timezone preferred), are you interested? Ping me!
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Tom Kocmi @kocmitom.bsky.social · 27/03/2025
It’s here! Our new model’s technical report is out. I'm especially proud of the work we did on its multilingual capabilities - this was a massive, collective effort!
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Tom Kocmi @kocmitom.bsky.social · 11/03/2025
Big news from WMT! 🎉 We are expanding beyond MT and launching a new multilingual instruction shared task. Our goal is to foster truly multilingual LLM evaluation and best practices in automatic and human evaluation. Join us and build the winning multilingual system! www2.statmt.org/wmt25/multil...
www2.statmt.org
Multilingual Instruction Shared Task
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Tom Kocmi @kocmitom.bsky.social · 04/03/2025
AI is evolving fast, and Aya Vision is proof of that. This open-weights model is designed to make LLM more powerful across languages and modalities, especially vision! Can’t wait to see the real-world applications, perhaps at WMT this year 😇
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Tom Kocmi @kocmitom.bsky.social · 01/03/2025
Huge shoutout to colleagues at Google & Unbabel for extending our WMT24 testset to 55 languages in four domains, this is game changer! 🚀 I really hope it puts the final nail in the coffin of FLORES or WMT14. The field is evolving, legacy testsets can't show your progress arxiv.org/abs/2502.124...
arxiv.org
WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects
As large language models (LLM) become more and more capable in languages other than English, it is important to collect benchmark datasets in order to evaluate their multilingual performance, includin...
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Tom Kocmi @kocmitom.bsky.social · 20/02/2025
Guess what? The jubilee 🎉 20th iteration of WMT General MT 🎉 is here, and we want you to participate - as the entry barrier to make an impact is so low! This isn’t just any repeat. We’ve kept what worked, removed what was outdated, and introduced many exciting new twists! Among the key changes are:
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Tom Kocmi @kocmitom.bsky.social · 20/11/2024
Exciting time at this year's WMT24 General MT Shared Task: 🚀 Participant numbers increased by over 50%! 🏗️ Decoder-only architectures are leading the way. 🔊 We've introduced a new speech audio modality domain. 🌐 Online systems are losing ground to LLMs.
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