Desmond Elliott

@delliott.bsky.social

✨ We are thrilled to announce that 5,252 papers have been accepted to #EMNLP2026 ✨ This includes over 2,700 main conference papers and over 2,500 papers in findings! Congratulations to all authors!! 🎉🎉🎉

Regular reminder that we have an alt-ARR slack workspace where ACs and SACs can support each other through the sometimes confusing process of the ARR cycle! Post or DM me a good email address for a Slack invitation and I will add you. #EMNLP2026

⚠️ Submitting to #EMNLP2026? Make sure to review our newly published Paper Integrity Policy first! It includes important updates on Generative Assistance in Authorship, thinly sliced contributions, and unverifiable references. 🔗 Details: 2026.emnlp.org/paper-integr...

EMNLP 2026 Paper Integrity Policy

EMNLP 2026, together with ARR, are taking actions against growing concerns of irresponsible AI use in paper submissions that take up valuable reviewer/AC resources and make little contributions to the...

2026.emnlp.org

Submitting to ARR for #EMNLP2026? We're running an opt-in AI Reviewing Experiment. Help us test AI-generated reviews during your ARR submission. 🤖 ✅ Reviewers, ACs, and SACs will not be able to see it ✅ Will not affect decisions 🔗 Read more: 2026.emnlp.org/ai-reviewing...

EMNLP 2026 AI Reviewing Experiment

EMNLP 2026 is running an AI Reviewing Experiment to collect feedback from authors about the quality of AI reviews of their submissions. This experiment is taking place on an opt-in basis, in which aut...

2026.emnlp.org

I have been thinking about some of the consequences of closed vs open research. Closed research can slow down scientific progress and concentrate knowledge, which results in what I call “model archaeology”. I discuss this idea in my ICLR 2026 Blogpost. Short thread 🧵and link👇

🚨New paper Are visual tokens going into an LLM interpretable 🤔 Existing methods (e.g. logit lens) and assumptions would lead you to think “not much”... We propose LatentLens and show that most visual tokens are interpretable across *all* layers 💡 Details 🧵

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💡Beyond math/code, instruction following with verifiable constraints is suitable to be learned with RLVR. But the set of constraints and verifier functions is limited and most models overfit on IFEval. We introduce IFBench to measure model generalization to unseen constraints.

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Following #CVPR2025, #ICCV2025 implemented a new policy targeting accountability and integrity. PCs identified 25 highly irresponsible reviewers, resulting in the desk rejection of 29 associated papers, including 12 submissions that otherwise would have been accepted.

Huge thanks to everyone that attended the Copenhagen NLP Symposium last week. Thanks for our wonderful speakers @kylelo.bsky.social, @najoung.bsky.social, Yohei Oseki, @mziizm.bsky.social, and @loubnabnl.hf.co! @mariaa.bsky.social did a great job of summarizing the talks in these liveposts (quoted).

People finding their seats before the event started
Maria Antoniak@mariaa.bsky.social · last yr.

Finally, @kylelo.bsky.social on the Olmo Cookbook! Pretraining data curation practices, challenges and frustrations, practical advice for your data curation. Starts with an overview: data acquisition, transformation, experimentation

Announcing our recent work “Multilingual Pretraining for Pixel Language Models”! We introduce PIXEL-M4, a pixel language model pretrained on four visually & linguistically diverse scripts: English, Hindi, Ukrainian & Simplified Chinese. #NLProc

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I am excited to announce our latest work 🎉 "Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory". We review recent works on culture in VLMs and argue for deeper grounding in cultural theory to enable more inclusive evaluations. Paper 🔗: arxiv.org/pdf/2505.22793

Paper title "Cultural Evaluations of Vision-Language Models
Have a Lot to Learn from Cultural Theory"