Assistant Professor @mcgillu, Core Academic Member @Mila_Quebec, Canada CIFAR AI Chair @CIFAR_News | interested in multilingual NLP | Disciple of Jesus
Hallelujah!
I’m excited to share that I’ve been selected as a 2025 AI2050 Early Career Fellow by @Schmidtsciences
This year’s fellows represent 42 institutions across eight countries, working to ensure AI benefits humankind.
Learn more at: https://t.co/Kwgcr64v27
We're excited to welcome 28 new AI2050 Fellows! This 4th cohort of researchers are pursuing projects that include building AI scientists, designing trustworthy models, and improving biological and medical research, among other areas. https://t.co/8oY7xdhxvF
Je salue le leadership du président @EmmanuelMacron qui a rassemblé aujourd’hui des chefs de gouvernement, des dirigeants des grandes entreprises d’IA et des chercheurs internationaux pour discuter des risques croissants liés à l’IA avancée, incluant la perte de contrôle et l’usage dangereux des IAs.
Nous devons commencer à traiter l’IA comme l’ensemble des technologies susceptibles de provoquer des transformations et des menaces majeures pour nos sociétés : avec des cadres de gouvernance intentionnels et rigoureux. Les développeurs de modèles doivent être audités de manière obligatoire et indépendante par des évaluateurs qu’ils ne choisissent pas. Ils doivent aussi être tenus responsables de démontrer que leurs modèles sont sécuritaires avant qu’ils ne posent un danger grave, danger qui peut exister avant la phase de déploiement.
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I welcome the leadership of President @EmmanuelMacron, who brought together heads of government, leaders of frontier AI companies, and international researchers today to discuss the growing risks of advanced AI, including dangerous loss of control and misuse of AIs.
We must begin treating AI like other technologies which can deeply transform and threaten our societies: with intentional and rigorous governance frameworks. Model developers should undergo mandatory, independent audits by evaluators they do not choose, and be held accountable for demonstrating that their models are safe before they can pose a grave danger, a danger which can exist before their deployment.
TACL now only allows one new submission from first authors every three months (excluding invited resubmissions), with some exceptions. See
https://t.co/W8ZQiSrOhR
Starting in an hour at #AACL2026@aaclmeeting: our tutorial on Measurement Science for Language Model Evaluation, with @sangttruong, @_rodolfocorona_, and Serena Wang.
We take six claims people often make about benchmarks, spanning three kinds of error (sampling, specification, strategic), and ask the room to vote:
1. Averaging safety benchmarks robustly measures safety
2. To compare models fairly, every model must answer the same full test
3. A well-translated benchmark measures the same thing in every language
4. The leaderboard winner will fit my product best
5. Evaluation gaming is mostly cheating or data leakage
6. A private, uncontaminated test set stops gaming
Most of these are partly right. We’ll show where each one holds, where it breaks, and a better claim to make instead.
14:00, Muhe Hall B, Hengqin
Reading list: https://t.co/v54EJ4u3D8
(slides uploaded after tutorial)
Super excited for Chutong Meng's new paper (in collaboration with Barron Associates): https://t.co/bpoCLUy8oL
We substantially improve translation for extremely low-resource languages by extracting parallel data from linguistic documentation materials.
Thread 👇
(1/7) 🚀 Introducing DR Pixel, the first open-source deep research agent that searches and reasons directly over page images, no OCR. On 1.06M pages, our trained 27B model matches GPT-5.4.
📄 https://t.co/SByne8jRFB
Joint work from @BerkeleyNLP, @rtnldynamics!
We @huggingface reproduced this paper!!
It's built with ML Intern, an open-source harness to do AI research, train models, and more
Model: https://t.co/VpW1vfaTGr
Demo: https://t.co/InVAmfnRQp
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: https://t.co/bOWCcFhCVq
I’m excited to be presenting our research, TukaBench, at EMNLP 2026 here in Budapest, Hungary! 🇭🇺
I’ll be giving an oral presentation today, and I’d love to connect with fellow researchers and anyone interested in AI safety, multilingual NLP, and culturally inclusive AI.
Our work explores an important question: How well do large language models handle safety when prompts are grounded in African languages and cultural contexts?
Presentation details:
Date: Monday, October 26, 2026
Time: 4:45 PM to 6:15 PM
Venue: Hall G-15-16, HUNGEXPO, Budapest
Session: 9 (Orals/Poster E)
If you’re attending EMNLP, please come around. I’d be happy to share our findings, answer your questions, and hear your thoughts.
Looking forward to some interesting conversations!
Paper: https://t.co/grtDEUVIIg
#EMNLP2026 #AISafety #NLP #AfricanLanguages #MultilingualAI #AIResearch
New publication - AfriScience-MT: Towards Decolonizing Science in Africa through Text Translation <> A parallel corpus covering six African languages (Amharic, Hausa, Luganda, Northern Sotho, Yorùbá, and isiZulu) across 11 scientific domains. https://t.co/i216XMwBLp #EMNLP2026
🚀 I am hiring a Postdoc in AI Safety & Alignment @imperialcollege to work on ⚡️Detecting Unverbalized Dangerous Capabilities in Frontier Models⚡, as part of a grant I received.
🗓️ Application Deadline: 22nd November
🔗 Link: https://t.co/ylL3thbz7g
📅 Start date: ASAP
I turned @googlegemma EmbeddingGemma 2, an embedding model, into a speech-to-text model, and it turned out to be one of the fastest STT models you can run on device.
On a base M3 MacBook Air it transcribes an hour of audio in about 13 seconds: 288× real time.
The idea came in March with Gemini Embedding 2. It puts text, images, audio and video into one shared space, so a spoken word lands right next to the written word. If that's true, you should be able to read a transcript straight out of the embedding model. I couldnt tried it then, but last week EmbeddingGemma 2 came out as an open model, so I tried it.
As we approach @emnlpmeeting next week, we're excited to share with you the MRL Workshop Programme on October 28! See you in-person / virtually at MRL 🎉🌏
Stay tuned in the coming days for more details about our Keynote Talks ;)
#EMNLP2026#nlp#nlproc