Fantine Huot @fantinehuot
Research Engineer @GoogleDeepMind. PhD from @Stanford. #nlproc #ai4science Amsterdam, The Netherlands Joined April 2023-
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🎉 Exciting news! @maidotgimenez joins as our 3rd keynote speaker! 🌟 A Google Deepmind senior engineer specializing in large language and multimodal models, Mai is also a former Spanish Python Association board member 🐍 Grab your tickets now! 🎟️ ep2024.europython.eu/tickets
More exciting news today -- Gemini 1.5 Pro result is out! Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1! Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest…
More exciting news today -- Gemini 1.5 Pro result is out! Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1! Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest… https://t.co/IvrwwMRhkU
Excited to share our paper "Low-Rank Adaptation for Multilingual Summarization: An Empirical Study" from @GoogleDeepMind internship got accepted at #NAACL2024🎉 Huge thanks to my co-authors @fantinehuot @jasmijnbastings @m__dehghani @kitsing_l & Mirella! arxiv.org/abs/2311.08572
Now on stage Mirella Lapata giving the keynote today at #EACL20204
🎊🎉 Congratulations to CEM ULUOGLAKCI for the best paper award at the EACL 2024 Student Research Workshop! Title: "HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs" Official paper: aclanthology.org/2024.eacl-srw.… #EACL2024 #EACL2024SRW #bestpaper
@tegmark @ylecun @GaryMarcus @geoffreyhinton @sama Hey Max, are there no women worthy of your ask?
Attending #EACL2024 in Malta this week! Looking forward to seeing you all☀️ Say hi if you’d like to chat about: - LMs + planning - Interactive generation - Long-form generation - Multilinguality
See you there!
Our @ESA_EO Φ-lab has released, in partnership with @huggingface, the first dataset of 'MajorTOM', or the Terrestrial Observation Metaset, the largest community-oriented and machine-learning-ready collection of @CopernicusEU #Sentinel2 images ever published and covering over 50%…
Kalamang Translation One of the most exciting examples in the report involves translation of Kalamang. Kalamang is a language spoken by fewer than 200 speakers in western New Guinea in the east of Indonesian Papua (endangeredlanguages.com/lang/1891). Kalamang has almost no online…
Today, we’re launching Aya, a new open-source, massively multilingual LLM & dataset to help support under-represented languages. Aya outperforms existing open-source models and covers 101 different languages – more than double covered by previous models. cohere.com/research/aya
Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.
Today, we’re entering the next chapter of our Gemini era by bringing our #GeminiAI models to more of our products, starting with Bard — which will now be called Gemini. goo.gle/4bxymmT
Smawressh @SmawresshG0UuR
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302 Followers 147 Following Research Scientist, @GoogleDeepmind #NLProcStefan Bejgu @SBejgu
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8 Followers 15 Following PhD Candidate | CDT NLP Edinburgh Uinveristy | @edin_cdt_nlpWenhao Zhu @Wenhao_NLP
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225 Followers 309 Following Final year PhD student at @EPFL and @heigvd working on Machine Translation and LLMs | Ex. @Google & @AmazonSciencejerry @gerasimoss
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554 Followers 329 Following PhD student @NLPnorth | affiliated @MaiNLPlab, @AiCentreDK | ex @AmazonScienceNeil Houlsby @neilhoulsby
4K Followers 318 Following Professional AI researcher; amateur athlete. Senior Staff RS in the Google Deepmind, Zürich. Attempts triathlons.Dustin Tran @dustinvtran
40K Followers 649 Following Research Scientist at Google DeepMind. I lead evaluation at Gemini / Bard. AI, Bayesian statistics, deep learning.Jerry Wei @JerryWeiAI
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2 Followers 47 FollowingGary Marcus @GaryMarcus
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Excited to share our paper "Low-Rank Adaptation for Multilingual Summarization: An Empirical Study" from @GoogleDeepMind internship got accepted at #NAACL2024🎉 Huge thanks to my co-authors @fantinehuot @jasmijnbastings @m__dehghani @kitsing_l & Mirella! arxiv.org/abs/2311.08572
Now on stage Mirella Lapata giving the keynote today at #EACL20204
@RadishHarmers @littmath @NoahJSnyder @MtgJulian 3. S_1 is equally HT... and HH... since the first tying H...H can be reversed 4. Hence S_2 is also equally HT... and HH..., so Bob is at least as (more, if n>2) likely to win in S_2. 5. Bob is at least as likely to win in S_1, by (strong) induction.
This is why Orcas are the apex predators of the ocean
🎊🎉 Congratulations to CEM ULUOGLAKCI for the best paper award at the EACL 2024 Student Research Workshop! Title: "HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs" Official paper: aclanthology.org/2024.eacl-srw.… #EACL2024 #EACL2024SRW #bestpaper
See you there!
‼️ EACL 2024 SRW Announcement! (1/🧵) We are happy to share the list of our panelists: - Barbara Plank: LMU Munich and ITU Copenhagen - Ahmet Üstün: Cohere For AI - Dan Jurafsky: Stanford University - Fantine Huot: Google DeepMind - Ekaterina Artemova: Toloka.AI
Attending #EACL2024 in Malta this week! Looking forward to seeing you all☀️ Say hi if you’d like to chat about: - LMs + planning - Interactive generation - Long-form generation - Multilinguality
We’re excited to be at EACL' 24 in Malta! 🇲🇹 Tomorrow, research scientist, @ahmetustun89 will be at the Student Research Workshop (SRW) on a panel with @barbara_plank, @jurafsky, @fantinehuot, and Ekaterina Artemova. See you all there! x.com/eacl_srw/statu…
‼️ EACL 2024 SRW Announcement! (1/🧵) We are happy to share the list of our panelists: - Barbara Plank: LMU Munich and ITU Copenhagen - Ahmet Üstün: Cohere For AI - Dan Jurafsky: Stanford University - Fantine Huot: Google DeepMind - Ekaterina Artemova: Toloka.AI
Excited to present our work “μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge” at #EACL2024 at the Poster Session 3 at 14:00. Come say hi! 👋 Check out the paper here: aclanthology.org/2024.eacl-long… and the data here: github.com/google-deepmin… #NLProc
On my way to Malta for @eaclmeeting @sig_typ #eacl #computel #sigtyp and looking forward to seeing everyone! Let me know if you want to chat about multilinguality, inclusivity in language tech, machine translation using linguistic resources, or anything else.
I will be presenting our work: “Small Language Models Improve Giants by Rewriting their Outputs” at #EACL2024 🇲🇹 ! If you are around, drop by today (poster) at 14:00 in Radisson or tomorrow (oral) at 14:00 in Marie Louise. All times are CET.
I am excited to share my @Google internship work: "Small Language Models Improve Giants by Rewriting Their Outputs"! ✨Introducing LM-Corrector (LMCor) 📝, a small model that boosts LLM performance without accessing its weights. 📜: arxiv.org/abs/2305.13514 🧵👇
The panel session will be March 19th, 16:10 - 17:10, and will be both virtual and in-person! For more information about the program, visit our website: sites.google.com/view/eacl2024s… See you in Malta!
‼️ EACL 2024 SRW Announcement! (1/🧵) We are happy to share the list of our panelists: - Barbara Plank: LMU Munich and ITU Copenhagen - Ahmet Üstün: Cohere For AI - Dan Jurafsky: Stanford University - Fantine Huot: Google DeepMind - Ekaterina Artemova: Toloka.AI
I successfully defended my thesis! Many thanks to @IAugenstein @nikaletras for being such kind examiners! Heartfelt gratitude to my supervisors @tweyde @foobarin, internship mentors @fenchri @claravania @AlhamFikri @jasmijnbastings @fantinehuot & all who helped me on the journey!
once again it is 4pm, too early for a beer, too late for a coffee, and so i find myself roaming the streets desperate to spend $8 on a mysterious third beverage
Super excited to finally share this with everyone!
Today, we’re launching Aya, a new open-source, massively multilingual LLM & dataset to help support under-represented languages. Aya outperforms existing open-source models and covers 101 different languages – more than double covered by previous models. cohere.com/research/aya
📢 Life update 📢 I'm beyond excited to share that I've joined @Google Bard as a Research Scientist! 🥳