Multilingual Multimodal Workshop @ACL 2022 @MML_WKSP
Multilingual Multimodal Workshop co-located with ACL 2022 https://t.co/VkcjCHUGDc Joined December 2021-
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Presenting FIBER (Fusion In-the-Backbone transformER) a novel V&L architecture w/ deep multi-modal fusion + a new pre-training strategy that first learns through coarse-grained image level objectives, and then obtains fine-grained understanding using image-text-box data.
Presenting FIBER (Fusion In-the-Backbone transformER) a novel V&L architecture w/ deep multi-modal fusion + a new pre-training strategy that first learns through coarse-grained image level objectives, and then obtains fine-grained understanding using image-text-box data. https://t.co/Uda2pKoGDk
Come for my inperson poster presentation on Multilingual Tabular Inference (XInfoTabS) @FEVERworkshop #Fever2020 @aclmeeting at 2:00 🕑 PM. We developed first multilingual tabular inference dataset and evaluated multilingual models with several training/testing strategies.
We created XInfoTabS more details here: xinfotabs.github.io.
This will also be presented in the poster session at the @MML_WKSP workshop today. Attend if you are free.
Come join us at MML2 - Workshop on Multilingual Multimodal Learning @ Liffey Hall 2 & on zoom! We had a great talk by @davlanade this morning and many more exciting invited talks lined up! #acl2022nlp ☘️
Join us today at 9:20am (Irish time) for @MML_WKSP, the first Multilingual Multimodal Workshop at #acl2022nlp! We have a fantastic line-up of speakers:
Check out our #NAACL2022 paper "Lifting the Curse of Multilinguality by Pre-training Modular Transformers" where we propose X-Mod, a modular MLM. 📜 arxiv.org/abs/2205.06266 ⌨️ github.com/pytorch/fairse… w\ @NamanGoyal21 @VictoriaLinML @xl_nlp JamesCross @riedelcastro @artetxem
Congrats to the recipients of the @Wikimedia Research Award of The Year!! 🎉"WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning" Srinivasan et al 🎉"Assessing the quality of sources in @wikidata across languages: a hybrid approach" Amaral et al
We have extended the submission deadline for the Multilingual Multimodal Workshop to March 06, 11:59 pm UTC! A quick reminder that #MML2022 also accepts the current round of ARR reviewed papers to be submitted to our workshop through @ARRPreprints!
We have extended the submission deadline for the Multilingual Multimodal Workshop to March 06, 11:59 pm UTC! A quick reminder that #MML2022 also accepts the current round of ARR reviewed papers to be submitted to our workshop through @ARRPreprints!
January reviews are out! A quick reminder that #MML2022 also accepts this round of reviews to be submitted to our workshop through @ARRPreprints ! We are excited to read your multimodal and multilingual work! mml-workshop.github.io
January reviews are out! A quick reminder that #MML2022 also accepts this round of reviews to be submitted to our workshop through @ARRPreprints ! We are excited to read your multimodal and multilingual work! mml-workshop.github.io
#MML2022 is hosting a shared task on multilingual visually grounded reasoning! The task will be centered around MaRVL, a multicultural and multilingual V&L dataset which extends the NLVR2 task. Submission Due: April 30 2022 🌐 mml-workshop.github.io/shared_task.ht… x.com/ebugliarello/s…
#MML2022 is hosting a shared task on multilingual visually grounded reasoning! The task will be centered around MaRVL, a multicultural and multilingual V&L dataset which extends the NLVR2 task. Submission Due: April 30 2022 🌐 mml-workshop.github.io/shared_task.ht… x.com/ebugliarello/s…
Check out our new *multilingual* AND *multimodal* benchmark covering 4 tasks in 20 languages! We perform extensive experimentation and (among other things) uncover that few-shot findings of text-only multilingual tasks don’t necessarily translate to the multimodal domain 🧐 👇
Check out our new *multilingual* AND *multimodal* benchmark covering 4 tasks in 20 languages! We perform extensive experimentation and (among other things) uncover that few-shot findings of text-only multilingual tasks don’t necessarily translate to the multimodal domain 🧐 👇
This paper required a Herculean effort, but it was worth it! The aspect that I like the most is that it enables transfer learning along 3 different axes: languages, tasks, and modalities
This paper required a Herculean effort, but it was worth it! The aspect that I like the most is that it enables transfer learning along 3 different axes: languages, tasks, and modalities
Voilà IGLUE🧊 The Image-Grounded Language Understanding Evaluation benchmark 📈 IGLUE brings together 4 vision-and-language tasks across 20 languages And, brr, is it cold outside the Anglosphere 🥶 📄 arxiv.org/abs/2201.11732 👩💻 github.com/e-bug/iglue 🌐 iglue-benchmark.github.io
Our paper on mapping LMs to grounded conceptual spaces was accepted to #ICLR2022! We study how well a conceptual space learned from text (e.g., by large LMs) can be mapped onto a grounded conceptual space (e.g., a world of colours) with only a small number of in-concept samples.
The deadline for submitting to the Multilingual Multimodal Workshop is February 28. Submissions will be handled through @ReviewAcl. We will also have four brilliant speakers: @davlanade, Lisa Anne Hendricks, Lei Ji, and @PreethiJyothi1 Find out more: mml-workshop.github.io
Thrilled to announce that the first workshop on Multilingual and Multimodal Learning (#MML2022) will be held at #ACL2022 More info coming soon! W/ @kaiwei_chang @delliott @gspandana @ashkamath20 @LiLiunian @hardy_qr @PfeiffJo @PontiEdoardo @krishna2 @licwu @yinfeiy @Wade_Yin9712
KONVENS 2023 @konvens2023
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Gave ChatGPT a list of interests. Asked for a list of jobs to consider. Added that I was a woman. No additional info provided. New job list includes fashion. Said I mistyped and was actually a man. No additional info provided. Fashion is replaced by engineering. Cc @OpenAI 🫠
New paper: Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation TLDR: We show that LLM prompting can provide an effective solution for rare words, by using bilingual dictionaries to provide control hints. With @hila_gonen and @LukeZettlemoyer
Now, more seriously, this ChatGPT-Bing disaster may put (for good reasons!) in the collective unconscious the idea that the "AI makers" at best don't care about controlling their creations, at worst do not know how.
We are excited to share our work on our Pathways Autoregressive Text-to-Image model, Parti! #Parti achieves high-fidelity photorealistic image generation and supports content-rich synthesis involving complex compositions and world knowledge. parti.research.google
Today is my first day as an ML scientist @PrescientDesign @genentech! Looking forward to working on antibody design with @kchonyc, @RichBonneauNYU, @GligorijevicV, @stephenrra, and many other great colleagues!
Presenting FIBER (Fusion In-the-Backbone transformER) a novel V&L architecture w/ deep multi-modal fusion + a new pre-training strategy that first learns through coarse-grained image level objectives, and then obtains fine-grained understanding using image-text-box data.
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone abs: arxiv.org/abs/2206.07643 project page: ashkamath.github.io/FIBER_page/ github: github.com/microsoft/FIBER
Come for my inperson poster presentation on Multilingual Tabular Inference (XInfoTabS) @FEVERworkshop #Fever2020 @aclmeeting at 2:00 🕑 PM. We developed first multilingual tabular inference dataset and evaluated multilingual models with several training/testing strategies.
We created XInfoTabS more details here: xinfotabs.github.io.
This will also be presented in the poster session at the @MML_WKSP workshop today. Attend if you are free.
Come join us at MML2 - Workshop on Multilingual Multimodal Learning @ Liffey Hall 2 & on zoom! We had a great talk by @davlanade this morning and many more exciting invited talks lined up! #acl2022nlp ☘️
Join us today at 9:20am (Irish time) for @MML_WKSP, the first Multilingual Multimodal Workshop at #acl2022nlp! We have a fantastic line-up of speakers:
Check out our #NAACL2022 paper "Lifting the Curse of Multilinguality by Pre-training Modular Transformers" where we propose X-Mod, a modular MLM. 📜 arxiv.org/abs/2205.06266 ⌨️ github.com/pytorch/fairse… w\ @NamanGoyal21 @VictoriaLinML @xl_nlp JamesCross @riedelcastro @artetxem
Congrats to the recipients of the @Wikimedia Research Award of The Year!! 🎉"WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning" Srinivasan et al 🎉"Assessing the quality of sources in @wikidata across languages: a hybrid approach" Amaral et al
Life update: I’ll be starting my PhD at @MITEECS & @MIT_CSAIL in the fall! Super excited to work with @jacobandreas, Yoon Kim, and the rest of the rich language ecosystem at MIT ✨
I recently saw an exceptional early career scholar and mother of two young kids (one born in 2021) write on social media “I didn’t do well enough at work to get a cost-of-living increase last year.” I can’t get over it. This is a thread for academic people who decide raises. 1/n
We are organizing a shared task on visually grounded reasoning. Can you devise a method to improve performance on a diverse set of languages and novel visual concepts?
#MML2022 is hosting a shared task on multilingual visually grounded reasoning! The task will be centered around MaRVL, a multicultural and multilingual V&L dataset which extends the NLVR2 task. Submission Due: April 30 2022 🌐 mml-workshop.github.io/shared_task.ht… x.com/ebugliarello/s…
Interested in computer vision and real-world impact? Join #cvpr2022 challenges to design algorithms for making the visual world accessible to blind people: VQA, VQA grounding, & few-shot learning. Submissions due May 6 with financial awards for top teams: vizwiz.org/workshops/2022…
Welcome to participate in our *Multilingual Visually Grounded Reasoning* shared task centered on MaRVL! #MML2022 #acl2022nlp
#MML2022 is hosting a shared task on multilingual visually grounded reasoning! The task will be centered around MaRVL, a multicultural and multilingual V&L dataset which extends the NLVR2 task. Submission Due: April 30 2022 🌐 mml-workshop.github.io/shared_task.ht… x.com/ebugliarello/s…
We completed the preliminary group screening interview and were able to narrow the decision down to four excellent candidates out of six for further 1:1 interviews. Our understanding is that hires from this lab need lots of early training, but they grow fast and learn quickly.
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