tsvetshop @tsvetshop
Group account for Prof. Yulia Tsvetkov's lab at @uwnlp. We work on low-resource, multilingual, social-oriented NLP. Details on our website: tsvetshop.github.io Joined March 2021-
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Check out this new work on efficiently quantifying+understanding the (often massive) differences in few-shot performance depending on format used!
Check out this new work on efficiently quantifying+understanding the (often massive) differences in few-shot performance depending on format used!
Did you know that depending on the format used in few-shot prompting, you may get accuracies ranging 4%-88% for a given task w/LLaMA-2-70B 5-shot? or 47%-85% w/GPT3.5?🤯 We explore this variance in FormatSpread, or: How I learned to start worrying about prompt formatting. 1/n
Get to know Anjalie Field (@anjalie_f), who joins Johns Hopkins as an assistant professor of computer science and a member of @jhuclsp. cs.jhu.edu/news/new-facul…
There are many dimensions to bias. @UW & @LTIatCMU researchers led by #UWAllen professor Yulia Tsvetkov earned the @Wikimedia 2023 Research Award of the Year for advancing a novel methodology for analyzing them in @Wikipedia biographies: news.cs.washington.edu/2023/08/21/wik… #NLProc #CSforGood
A handy explainer on talking to open-source pretrained models by @XiaochuangHan!
A handy explainer on talking to open-source pretrained models by @XiaochuangHan!
MIT Tech Review article by our very own @chan_young_park and @shangbinfeng!
MIT Tech Review article by our very own @chan_young_park and @shangbinfeng!
New: Researchers tested 14 large language models and found that each model exhibited a different kind of political bias. trib.al/4BxEDJf
This paper is sooo good, congrats @shangbinfeng @chan_young_park @Lyhhhh2333 @tsvetshop!!!
This paper is sooo good, congrats @shangbinfeng @chan_young_park @Lyhhhh2333 @tsvetshop!!!
Best part of having spent time in academia: seeing your former students (and their students) doing great things. Congrats @tsvetshop on the best paper award at #ACL2023NLP. Brilliant careful and important work!
Here's the pre-print for our FAccT'23 paper "Examining risks of racial biases in NLP tools for child protective services" with @AmandaCoston, @nupoor_gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, and Yulia Tsvetkov @tsvetshop arxiv.org/abs/2305.19409
Do LLMs have inherent political leanings? How do their political biases impact downstream tasks? We answer these questions in our #ACL2023 paper: "From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models"
LLMs are adopted in tasks and contexts with implicit graph structures, but ... Are LMs graph reasoners? Can LLMs perform graph-based reasoning in natural language? Introducing NLGraph, a comprehensive testbed of graph-based reasoning designed for LLMs arxiv.org/abs/2305.10037
Looking for a summarization factuality metric? Are existing ones hard-to-use, require re-training, or not compatible with HuggingFace? Introducing FactKB, an easy-to-use, shenanigan-free, and state-of-the-art summarization factuality metric! arxiv.org/abs/2305.08281
Ever felt hopeless when LLMs make factual mistakes? Always waiting for big companies to release LLMs with improved knowledge abilities? Introducing CooK, a community-driven initiative to empower black-box LLMs with modular and collaborative knowledge arxiv.org/abs/2305.09955
The first @Wikimedia Research Award Research Award of the Year 2023 goes to @anjalie_f @chan_young_park @linnyKos @tsvetshop for their work "Controlled Analyses of Social Biases in Wikipedia Bios" ⭐️ arxiv.org/abs/2101.00078
We are so honored by this award and so grateful to the amazing Wikimedia community that made our research possible! This was a real team effort journey with fantastic co-authors @chan_young_park @linnyKos @tsvetshop, and we hope our work contributes to reducing bias on Wikipedia!
We are so honored by this award and so grateful to the amazing Wikimedia community that made our research possible! This was a real team effort journey with fantastic co-authors @chan_young_park @linnyKos @tsvetshop, and we hope our work contributes to reducing bias on Wikipedia!
Congratulations to @anjalie_f @chan_young_park @linnyKos for receiving “Research Award of the Year” by @WikiResearch 🎉🎉🎉 A special bonus: Jimmy Wales (@jimmy_wales), the founder of Wikipedia, joined the ceremony and gave the award!!!
Congratulations to @anjalie_f @chan_young_park @linnyKos for receiving “Research Award of the Year” by @WikiResearch 🎉🎉🎉 A special bonus: Jimmy Wales (@jimmy_wales), the founder of Wikipedia, joined the ceremony and gave the award!!!
(((ل()(ل() 'yoav))).. @yoavgo
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Elizabeth Salesky @esalesk
1K Followers 657 Following PhD student @jhuclsp more commonly known as Liz ☀️ Friend of @NLPwithFriends ☀️ I like bubbles, bicycles, and language variationDid you know that depending on the format used in few-shot prompting, you may get accuracies ranging 4%-88% for a given task w/LLaMA-2-70B 5-shot? or 47%-85% w/GPT3.5?🤯 We explore this variance in FormatSpread, or: How I learned to start worrying about prompt formatting. 1/n
What this tweet completely leaves out is just how kind, thoughtful, and supportive Chan is as a researcher and a friend!! We need more mentors like her. Anywhere she goes, will be fortunate to have her.
Elated to share that I've been named a K&L Gates Presidential Fellow🔥 And..I’m on the academic job market! I tackle problems in the intersection of NLP, AI Ethics, and computational social science. See my website for my CV, research statement, and more chan0park.github.io🧵
Chan is a brilliant researcher, wonderful human, and I’m so grateful that she is one of my closest collaborators. And you should hire her!!
Elated to share that I've been named a K&L Gates Presidential Fellow🔥 And..I’m on the academic job market! I tackle problems in the intersection of NLP, AI Ethics, and computational social science. See my website for my CV, research statement, and more chan0park.github.io🧵
Chan is one of the most thoughtful researchers I have had the pleasure of working with. Any university would be fortunate to have her as a faculty member!
Elated to share that I've been named a K&L Gates Presidential Fellow🔥 And..I’m on the academic job market! I tackle problems in the intersection of NLP, AI Ethics, and computational social science. See my website for my CV, research statement, and more chan0park.github.io🧵
I cannot think of anyone more deserving of this honor! Congratulations, @chan_young_park!
Elated to share that I've been named a K&L Gates Presidential Fellow🔥 And..I’m on the academic job market! I tackle problems in the intersection of NLP, AI Ethics, and computational social science. See my website for my CV, research statement, and more chan0park.github.io🧵
WTG @tsvetshop!
There are many dimensions to bias. @UW & @LTIatCMU researchers led by #UWAllen professor Yulia Tsvetkov earned the @Wikimedia 2023 Research Award of the Year for advancing a novel methodology for analyzing them in @Wikipedia biographies: news.cs.washington.edu/2023/08/21/wik… #NLProc #CSforGood
I was having trouble understanding S4 (structured state space model). I admit my algebra knowledge is lacking 😅. But this blog srush.github.io/annotated-s4/ from Rush explains things so well. Highly recommended!
Do LLMs have inherent political leanings? How do their political biases impact downstream tasks? We answer these questions in our #ACL2023 paper: "From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models"
Excited to share that I will be starting my PhD at @uwnlp next fall in the @tsvetshop. I’m so grateful for the support from my mentors and friends in the past few years at @jhuclsp. Looking forward to moving back to the west (better👀) coast for the next chapter!! #decisionday
We’re super excited to share our #eacl2023 paper - Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey Paper: arxiv.org/abs/2210.07700 w/ @shocheen, Lucille Njoo, @anas_ant, Yulia Tsvetkov from @tsvetshop lab. 1/7
Always happy to learn some idiom from the title of a good paper: Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them (arxiv.org/pdf/1903.03862…)
Today I received my *first* citation ever! I was hesitating to post this because my circle is full of very experienced and mature academics, but I remember the importance of celebrating milestones no matter how small. Here’s to the first out of many 🥂
Bernice: A Multilingual Pre-trained Encoder for Twitter #emnlp2022 Authors: Alexandra DeLucia @Alexir563 Shijie Wu @EzraWu Aaron Mueller @amuuueller Carlos Aguirre @pocaguirre Mark Dredze @mdredze Philip Resnik @psresnik It's time for a story! 📗 cs.jhu.edu/~mdredze/publi…
Introducing Bernice: A Multilingual Pre-trained Encoder for Twitter Work by Alexandra DeLucia (me, @Alexir563), Shijie Wu @EzraWu, Aaron Mueller @amuuueller, Carlos Aguirre @pocaguirre, Mark Dredze @mdredze, and Philip Resnik @psresnik Model: huggingface.co/jhu-clsp/berni…
Coming up this week: Prof Mark Dredze @mdredze will be hosting an admissions AMA on November 15 at 9:30 PM EST (to accommodate more time zones) 🙌. Please pre-register to receive a zoom link: forms.gle/LTb2JrrRZnLa6C……
arxiv.org/abs/2210.17432. In the above preprint we propose SSD-LM, a diffusion-based language model that generates a block of text at a time and directly operates on simplexes of vocabulary. We show a demo of our model below.
I'm recruiting PhD students for our @uwcse Behavioral Data Science Group (bdata.uw.edu). Focus areas include deep representation learning, NLP, esp. for mental/mobile/public health. Apply here: cs.washington.edu/academics/phd/… @uwdatascience @uw_ischool @uwdub @uwnlp
Can we develop generalizable editing models to correct factual mistakes in generated summaries? Our new #emnlp2022 paper presents FactEdit - a generalizable error correction model trained using diverse synthetic data from infilling language models! arxiv.org/abs/2210.12378
We used Ai to analyze >30 million BLM tweets from 2020, and found a lot of pride and motivation In emotions expressed. It wasn’t all talk, results show these more hopeful tweets correlated to places with more protest events pnas.org/doi/10.1073/pn…
Enjoyed reading this interview w Prof. Melanie Mitchell. My favorite part is the discussion around the roles of AI and humans: 1️⃣the fine line between decision support and decision making 2️⃣humans should remain “editors” and “question askers” ft.com/content/304b6a…
A year ago today I was hitting rock bottom of my mental health that my only hope was time. I placed a calendar invite a year from then, asking myself if I'd feel better. Today I get to answer yes to that question. I know time might not be your best bet, but it's a reliable one.
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