Laurent Charlin
@lcharlin
Machine learning professor at Mila & HEC Montréal.
🚀 Exciting news! Our work LitLLM has been accepted in TMLR! LitLLM helps researchers write literature reviews by combining keyword+embedding-based search, and LLM-powered reasoning to find relevant papers and generate high-quality reviews. LitLLM.github.io 🧵 (1/5)
📢 Deadline Extension Alert! 📢 Good news! We’re extending the #CoLLAs2025 submission deadlines: 📝 Abstracts: Feb 26, 2025, 23:59 AoE 📄 Papers: Mar 3, 2025, 23:59 AoE More time to refine your work—don't miss this chance to contribute to lifelong learning research! 🚀 🔗…
🚀 Why Lifelong Learning Matters 🚀 Modern ML systems struggle in non-stationary environments, while humans adapt seamlessly. How do we bridge this gap? 📖 Read our latest blog on the vision behind #CoLLAs2025 and the future of lifelong learning research: 🔗…
Natural language user embeddings for recommendations. Work led by @emilianopp_
How can we make recommender systems more transparent and controllable without sacrificing quality? Introducing TEARS a scrutable RS that replaces numerical user profiles with editable text summaries (accepted @TheWebConf). arxiv.org/abs/2410.19302 1/🧵
Checkout the compositional workshop today at NeurIPS compositional-learning.github.io
Le professeur affilié à Mila Laurent Charlin (@lcharlin) co-organise l'atelier Compositional Learning: Perspectives, Methods, and Paths Forward à @NeurIPSConf aujourd'hui, West Meeting Room 118-120. Venez le découvrir!
Thank you so much @CIFAR_News for your continued support through the AI Chair Program. It's an honour! It allows me to recruit fantastic students and spend more time doing research. I look forward to contributing to the success of the program. Congrats to my colleagues!
Congratulations also to @arbtal, @pierrelux, @apsarathchandar @lcharlin, @sivareddyg and @irinarish, all Canada CIFAR AI Chairs at @Mila_Quebec, on their renewal 🎉
Consider submitting your CL-related work to CoLLAs 2025 (deadline Feb: 21)!
📢 Exciting News! The Fourth Conference on Lifelong Learning Agents (CoLLAs 2025) will be held at the University of Pennsylvania (@Penn) in Philadelphia, USA 🇺🇸 🗓️ Important Dates: Abstract Deadline: Feb 21, 2025 Submission Deadline: Feb 26, 2025 Conference Dates: Aug 11 - Aug…
Come study with us at Mila! I will be looking for new students to work with. Our current projects explore continual learning, modularity, scrutability, algorithm discovery, AI for law (reasoning), invariances, and decision-making...
Mila's annual supervision request process opens on October 15 to receive MSc and PhD applications for Fall 2025 admission! Join our community! More information here mila.quebec/en/prospective…
Wearing butterfly socks today in honour of @SashaMTL being recognized as one of the top 100 AI people in the world! Congrats again!!!
I'm lowkey never going to get over being in this millionaire sandwich between @satyanadella and @sama😆 #time100ai
Come work with @chrisjpal and me on a research project toward creating an assistant to help researchers write the literature reviews of scientific papers. A collaboration with @ServiceNowRSRCH and @Mila_Quebec Details are here: mila.quebec/en/news/call-f… Deadline: Sept. 1
Are you working on compositionality (including modularity) in the context of large-scale modelling or continual learning? Consider contributing to this workshop (the deadline is Sept. 10).
🚀 Call for Papers! 🚀 Join us at the NeurIPS 2024 Workshop on Compositional Learning: Perspectives, Methods, and Paths Forward. We're seeking innovative research on: 1. Perspectives: In which contexts, and why, should we expect foundation models to excel in compositional…
*Towards Modular LLMs by Building and Reusing a Library of LoRAs* by @PontiEdoardo @lcharlin @LucasPCaccia @murefil A way to zero-shot merge a collection of LoRAs on novel tasks (per-token and per-layer). Very cool! arxiv.org/abs/2405.11157
What should you care about when continually improving your model’s representations with self-supervised learning? Check out our paper titled *Integrating Present and Past in Unsupervised Continual Learning* to appear at #CLVision2024 and #CoLLAs2024! arxiv.org/abs/2404.19132 1/🧵
This should be a fun day with a mix of AI research talks from industry and academic stars, keynotes including one on "AI and Trust" from a world-renowned security and privacy specialist, another from a deep-learning pioneer, and a forward-looking panel with three AI leaders!
Don't miss the TechAide AI Conference on April 12! Join us for presentations by Ian Goodfellow, Bruce Schneier, Hsiu-Chin Lin, Ryan Lowe, and Sara Sabour, as well as a panel discussion featuring Yoshua Bengio and Doina Precup. View the detailed program: ow.ly/X0Sn50R6Kf2
The Computer and Software Engineering Dept. at Polytechnique Montreal is hiring for a tenure-track faculty position in Trustworthy AI! Eligible candidates will be nominated to become affiliated with @Mila_Quebec! Link to the official call in the next tweet! Deadline: 8 April
We're hiring a Senior ML Engineer with experience building real-world LLM applications, motivated to solve hard ML problems on source code analysis and developer tooling and deploy ML systems! Want to transform the future of software engineering? linkedin.com/jobs/view/3824…
Have big ideas for an AI-enabled biz? Applications for the @_NextAI 2023 cohort are now open - learn more & apply a @ apply.nextcanada.com