@lasha_nlp @mpi_sws_ Congrats Lasha! Now that you are based in Europe, no excuse not to drop by in London!
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Paul Michel
252 posts
Paul Michel
@pmichelX
Staff Research Scientist @DeepMind working on Gemini pretraining. Previously postdoc @ENS_ULM and PhD @LTIatCMU
London Katılım Ekim 2014
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Life update: I’m excited to share that I’ll be starting as faculty at the Max Planck Institute for Software Systems(@mpi_sws_) this Fall!🎉
I’ll be recruiting PhD students in the upcoming cycle, as well as research interns throughout the year: lasharavichander.github.io/contact.html
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Interested in working on Gemini pre-training?
I'm hiring a research scientist to work on pre-training data @GoogleDeepMind in London: boards.greenhouse.io/deepmind/jobs/…
I am unfortunately not at #NeurIPS2024 but feel free to reach out to ask questions or see the team at the booth there!
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PhDone! Thank you so much to everyone who's been with me along the way 🎓🥳
JHU CLSP@jhuclsp
Congratulations to @esalesk (esalesky.github.io) on successfully defending her PhD thesis, "Overcoming vocabulary challenges in natural language processing"! Elizabeth was advised by @mjpost and Philipp Koehn. She will join @Google this fall.
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Share some career move: leaving GDM today. Google is such a magic place to research and learn. I incredibly grateful for the amazing colleagues and mentors I've had the privilege to work with. Your guidance, help, and most importantly the friendship are among the most invaluable!
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Very happy to finally be able to share what I've been up to in the last couple months #Gemini. Working on these models (mainly pre-training data) was an amazing experience.
Blog: blog.google/technology/ai/…
Tech report: storage.googleapis.com/deepmind-media…
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@srush_nlp Looks like prohibiting llm generated papers is an emergent ability with the number of papers 🤔
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"LLMs are Few-Shot Paper Writers.…so what?"
Some views from an ML research conference (ICLR) on the topic.
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I will be at #ICLR2023 in Kigali this week! Feel free to reach out if you'd like to chat/catch up. These days I'm working mostly on LLMs but happy to talk about emergent communication, NLP or anything really :)
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Paul Michel retweetledi
How is AI helping conserve wildlife? 🦁
Using machine learning, researchers can track fragile species in the Serengeti - one of the world’s most diverse ecosystems.
Join @FryRSquared on a virtual safari in our podcast to find out more: dpmd.ai/3y7A5gf #WorldWildlifeDay
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Paul Michel retweetledi
Classic ML approaches to solving limited data tasks include introducing (1) external data (2) larger pre-trained models (3) task specific modeling techniques. In our #ICLR2023 paper (arxiv.org/abs/2205.14082), we present AANG, a novel, automated transfer learning axis [1/n]
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Exciting personal update!! I am thrilled to share that I defended my PhD #PHDone 🎉
Next steps: Young Investigator/Postdoc @allen_ai. I’m super excited to work with @YejinChoinka and the @ai2_mosaic team, as well as to join the vibrant NLP community in Seattle 🗻✨🧋☕️
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Very excited to share that I have just started a postdoc at FAIR @metaai in NYC mentored by @LukeZettlemoyer . I will be working on multilingual language modeling with a focus on low resource languages.
Feel free to reach out for research chats in person or online.
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Paul Michel retweetledi
🎷 I'll attend @NeurIPSConf this week to present our work "Emergent Communication: Generalization and Overfitting in Lewis Games" ! If you're interested, drop by the Poster Session 5 on Thu 1 Dec - Hall J #713.
🗞️Paper: arxiv.org/pdf/2209.15342…
🧵Thread: twitter.com/Mathieu_Rita/s…
Mathieu@Mathieu_Rita
I am glad to announce that we will present our last paper: « Emergent communication: Generalization and Overfitting in Lewis Games » has been accepted to #NeurIPS2022 🎷🎷. with C.Tallec, @pmichelX , JB.Grill, O.Pietquin, E.Dupoux & F.Strub. 🖱️arxiv.org/pdf/2209.15342… 🧵1/13
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Check out @Mathieu_Rita 's paper if you want some really cool insight into emergent communication referential games
Mathieu@Mathieu_Rita
I am glad to announce that we will present our last paper: « Emergent communication: Generalization and Overfitting in Lewis Games » has been accepted to #NeurIPS2022 🎷🎷. with C.Tallec, @pmichelX , JB.Grill, O.Pietquin, E.Dupoux & F.Strub. 🖱️arxiv.org/pdf/2209.15342… 🧵1/13
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Paul Michel retweetledi
I am glad to announce that we will present our last paper: « Emergent communication: Generalization and Overfitting in Lewis Games » has been accepted to #NeurIPS2022 🎷🎷.
with C.Tallec, @pmichelX , JB.Grill, O.Pietquin, E.Dupoux & F.Strub.
🖱️arxiv.org/pdf/2209.15342…
🧵1/13
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Paul Michel retweetledi
Intern applications at @DeepMind for the 2023 calendar year open this Friday, September 16th! 📣
Feel free to contact me or others for info, be ready to apply, and please share with your network!
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I'll be at ACL @aclmeeting in Dublin this week 🍀 If you want to have a chat, please reach out! Looking forward to catching up with people and seeing new faces :)
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Some personal news: I'm happy to share that in July I will be joining @DeepMind as a Research Scientist in London!
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Check out the paper or come see our poster for more details!
This was joint work with @tatsu_hashimoto and @gneubig
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Better late than never: Happy to share our ICLR22 paper: "Distributionally Robust Models with Parametric Likelihood Ratios".
Paper: arxiv.org/abs/2204.06340
Code: github.com/pmichel31415/P…
Poster session: TODAY (04/26, 11:30AM-1:30PM CEST, 5:30AM-7:30PM EST)
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