Mai Ha
461 posts
Mai Ha
@MaiSpaceHa
I teach at University of Toronto Mississauga now. she/her. Mostly lurking. 🇻🇳 → 🇭🇺 → 🇺🇸 → 🇳🇴 → 🇨🇦 on mastodon: https://t.co/W09PE4vR32
Mississauga, Canada Katılım Mayıs 2016
186 Takip Edilen133 Takipçiler
Happy to announce the baby is saying [fuːn] for spoon, as predicted by the sacred texts (introductory linguistics textbooks)
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@langofmind This is a cool paper on the topic: pnas.org/doi/10.1073/pn…
It argues that self/non self binary distinction is not accurate, because really it is about interpreting antigenic patterns as self/non-self
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I had an interesting conversation with linguist Chris Golston about this a few years ago.
Your immune system discriminates between what is you and what is not you, but it doesn't know anything else about you as a person or what the whole system does.
Paul@WomanDefiner
Odd because when you get a transplant you need to take anti rejection medication because your cells know those other cells aren't you. Dumb argument.
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@PRobertImmodels @BartlomiejSwia4 @SandveGeir @victorgreiff Excellent summary by @PRobertImmodels
x.com/PRobertImmodel…
Philippe A. Robert@PRobertImmodels
One more baby is out! A perspective led by @MaiSpaceHa bring a salt of linguistic in the soup of biological sequence ML models! She describes how antibody sequences of different specificities may form a language, which has implications on the design of future LLM models.
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Very happy to announce that our perspective is finally out in Nature Comp. Sci! Many thanks to Mat Akbar, @PRobertImmodels, @BartlomiejSwia4, @SandveGeir, Dag Haug, and @victorgreiff for the fantastic work.
Nature Computational Science@NatComputSci
📢 @maispaceha, @PRobertImmodels, @BartlomiejSwia4, @SandveGeir, @victorgreiff et al. explore the potential of linguistic formalization of antibody language to improve rule mining in deep LMs for antibody sequence analysis. nature.com/articles/s4358… ➡️rdcu.be/dKOdq
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Mai Ha retweetledi
One more baby is out!
A perspective led by @MaiSpaceHa bring a salt of linguistic in the soup of biological sequence ML models!
She describes how antibody sequences of different specificities may form a language, which has implications on the design of future LLM models.
Nature Computational Science@NatComputSci
📢 @maispaceha, @PRobertImmodels, @BartlomiejSwia4, @SandveGeir, @victorgreiff et al. explore the potential of linguistic formalization of antibody language to improve rule mining in deep LMs for antibody sequence analysis. nature.com/articles/s4358… ➡️rdcu.be/dKOdq
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@focusfronting i couldn't help but look at this..it's a 17 year old high school student, i kind of respect the hustle
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I know I'm supposed to talk to the baby so she's exposed to language, but all I seem to find myself doing is imitating the strange noises she makes
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Mai Ha retweetledi
Linguists! Please spread the word to your UG students:
The Racial Justice Committee in the Dept of Linguistics at the University of Toronto has started a new program to help support students who identify as Black or Indigenous and are applying to graduate school in linguistics.
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Mai Ha retweetledi
Anyone interested in public education should get informed about what's happening at WVU. This piece by Jonah Katz is a good place to start. He's a UMass Linguistics BA, a point of pride for our department, and that brings this home particularly closely.
community.wvu.edu/~jokatz/Closur…
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Mai Ha retweetledi
What is sold as interdisciplinary research range from just having a dataset passed around between scholars of different fields, to collaborations that truly transcend borders. I learnt a lot from this project, where linguistics as scientific approach was applied to bio as domain.
GreiffLab 💻🔬💊@victorgreiff
Our perspective on adapting LMs for protein sequences with the help of linguistic knowledge is now out in @NatMachIntell. Led by @MaiSpaceHa, @pandaisikit and @PRobertImmodels. Great collboration with @BartlomiejSwia4, @SandveGeir and Dag Haug. nature.com/articles/s4225…
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Mai Ha retweetledi
Making antibody ML great again from the eyes of linguistics!
Super cool interdisciplinary work between @MaiSpaceHa the linguist and @victorgreiff et al. nerd immunologists.
Got fresh insights working together with @MaiSpaceHa! Enjoy!
nature.com/articles/s4225…
GreiffLab 💻🔬💊@victorgreiff
Our perspective on adapting LMs for protein sequences with the help of linguistic knowledge is now out in @NatMachIntell. Led by @MaiSpaceHa, @pandaisikit and @PRobertImmodels. Great collboration with @BartlomiejSwia4, @SandveGeir and Dag Haug. nature.com/articles/s4225…
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Mai Ha retweetledi
Our perspective on adapting LMs for protein sequences with the help of linguistic knowledge is now out in @NatMachIntell. Led by @MaiSpaceHa, @pandaisikit and @PRobertImmodels. Great collboration with @BartlomiejSwia4, @SandveGeir and Dag Haug. nature.com/articles/s4225…
Mai Ha@MaiSpaceHa
Happy to share my first preprint in the Immunolingo project “Advancing protein language models with linguistics: a roadmap for improved interpretability”, a perspective on adapting LMs for protein sequences with the help of linguistic knowledge. arxiv.org/abs/2207.00982
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Excited to see our Perspective on protein language models published at @NatMachIntell!
Many thanks to the editors for their support and our reviewers!
Check out our professionally formatted article here: nature.com/articles/s4225…
Mai Ha@MaiSpaceHa
Happy to share my first preprint in the Immunolingo project “Advancing protein language models with linguistics: a roadmap for improved interpretability”, a perspective on adapting LMs for protein sequences with the help of linguistic knowledge. arxiv.org/abs/2207.00982
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@PRobertImmodels @OdedRechavi @roni_katzir i retweeted someone advertising that paper just last night :)
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Must read if you're interested in ChatGPT and language models (and wonder whether they work like our brains). Super interesting response from @roni_katzir a world expert working on these questions.
Roni Katzir@roni_katzir
A paper by @spiantado claims that “Modern language models refute Chomsky’s approach to language.” I wrote a short reply explaining why they do no such thing. ling.auf.net/lingbuzz/007190
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