Jessy Li @jessyjli
Associate Professor @UT_Linguistics, computational linguistics and #NLProc jessyli.com Joined October 2010-
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This Thursday!! 🤓 Disinfo Day featuring @vlachos_nlp (NLP), @David_Beaver (Linguistics), Jason Stanley (Philosophy), @alicetiara (Communications/Media). Register below!
This Thursday!! 🤓 Disinfo Day featuring @vlachos_nlp (NLP), @David_Beaver (Linguistics), Jason Stanley (Philosophy), @alicetiara (Communications/Media). Register below!
This week I successfully passed my Ph.D. proposal 🎉 The title of the talk: "Generative Models from Lossy Measurements". Here is a little 🧵 about it
Today was this semester's last session of the ✨Social Applications and Impact of NLP✨ seminar that I organized. Huge thanks to the first author presenters who joined us! What an amazing lineup of papers, check them out: jessyli.com/courses/lin393
A 🔥🔥🔥 event at UT Austin crossing AI/NLP, linguistics, philosophy, and media! This is virtual, free registration with link below 👇
A 🔥🔥🔥 event at UT Austin crossing AI/NLP, linguistics, philosophy, and media! This is virtual, free registration with link below 👇
Can LMs correctly distinguish🔎 confusing entity mentions in multiple documents? We study how current LMs perform QA task when provided ambiguous questions and a document set📚 that requires challenging entity disambiguation. Work done at @UTCompSci✨ w/ @xiye_nlp, @eunsolc
LLMs can mimic human curiosity by generating open-ended inquisitive questions given some context, similar to how humans wonder when they read. But which ones are more important to be answered?🤔 We predict the salience of questions, substantially outperforming GPT-4.🌟 🧵1/5
Dear #NAACL Members, to better explain some of the arguments for a possible name change, several members of our community who reside or originate from the Americas outside of US/Canada have written an open letter 👉 naacl.org/posts/2024-04-… Original survey forms.gle/r8SWiu8goG79kw…
🔎📄New model & benchmark to check LLMs’ output against docs (e.g., fact-check RAG) 🕵️ MiniCheck: a model w/GPT-4 accuracy @ 400x cheaper 📚LLM-AggreFact: collects 10 human-labeled datasets of errors in model outputs arxiv.org/abs/2404.10774 w/ @PhilippeLaban, @gregd_nlp 🧵
Very exciting for privacy-preserving long-term emotional support from LLMs. Work led by @HongliZhan looks into *cognitive reappraisal*, what psychologists use in practical settings. Our constitutions enable open-source 7b-scale models to do this well, even compared with humans!
Very exciting for privacy-preserving long-term emotional support from LLMs. Work led by @HongliZhan looks into *cognitive reappraisal*, what psychologists use in practical settings. Our constitutions enable open-source 7b-scale models to do this well, even compared with humans!
🥱Tired of LLM’s generic “hope you feel better” responses? 🧠Can we dive much deeper and instill cognitive capabilities in them? Under the right instructions, LLMs (zero-shot) score very high per expert psychologist evaluators! 📢arxiv.org/abs/2404.01288 1/🧵
follow-up to our work on BooookScore: 🐋prev, we evaluated summary coherency, 🦉now, we're evaluating faithfulness, omissions, etc which is hard cuz it requires localizing summary generations within original source (>100k tokens) come chat w us at @iclr_conf 🐙
follow-up to our work on BooookScore: 🐋prev, we evaluated summary coherency, 🦉now, we're evaluating faithfulness, omissions, etc which is hard cuz it requires localizing summary generations within original source (>100k tokens) come chat w us at @iclr_conf 🐙
Attention #NAACL members! We are surveying the community about the name for NAACL, where the "NA" currently stands for North America. Share your thoughts here 👉 forms.gle/r8SWiu8goG79kw…
🔑 🗝️ The Article+Adjective+Numeral+Noun (e.g., “a lovely five days”) construction is quite rare, and yet people and LMs know it’s grammatical. What is the key to learning such a rare construction? @kmahowald and I answer this question in the context of LMs in our new paper:
This is a cool method, but "superhuman" is an overclaim based on the data shown. There are better datasets than FActScore for evaluating this: ExpertQA arxiv.org/abs/2309.07852 by @cmalaviya11 +al Factcheck-GPT arxiv.org/abs/2311.09000 by Yuxia Wang +al (+ same methodology) 🧵
This is a cool method, but "superhuman" is an overclaim based on the data shown. There are better datasets than FActScore for evaluating this: ExpertQA arxiv.org/abs/2309.07852 by @cmalaviya11 +al Factcheck-GPT arxiv.org/abs/2311.09000 by Yuxia Wang +al (+ same methodology) 🧵
Congrats to @iamSmritii for her first main conference paper at #NAACL2024! In humans, emotions are triggered by what happened and how we view it. Looking into language model predictions, we found that they rely on corpus-level keywords rather than true emotion triggers🤔
Congrats to @iamSmritii for her first main conference paper at #NAACL2024! In humans, emotions are triggered by what happened and how we view it. Looking into language model predictions, we found that they rely on corpus-level keywords rather than true emotion triggers🤔
What roles do emotion triggers play in language models’ emotion predictions? 📢 Our #NAACL2024 paper examines this with the help of our dataset, EmoTrigger! Our study leverages explainability tools & elicits natural explanations from LLMs. 📑 tinyurl.com/5taz5y7y w/@jessyjli
Akari Asai @AkariAsai
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16K Followers 894 Following Professor @nyuling and @NYUDataScience, research scientist @GoogleAIDelip Rao e/σ @deliprao
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157 Followers 244 Following PhD Candidate at @CambridgeNLP, researching NLP for Fact Checking with @vlachos_nlp.kimi @kimi59835793
0 Followers 319 FollowingCanhnko34 @canhnko34
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138 Followers 808 Following fine tuning_ also help Creators and Podcasts in videos🤝Mr Collins Harrison @MrCollinsHarri1
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3 Followers 19 FollowingDuggal @harshitduggal5
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13 Followers 188 Following Master Student in AI. At @MonashUni and Southeast University (Nanjing) Natural language processing | Knowledge Graphs | LLMsArindam Majee @arimajee
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0 Followers 141 Following(((ل()(ل() 'yoav))).. @yoavgo
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52K Followers 464 Following Professor, Programmer in NYC. Cornell Tech, Hugging Face 🤗 https://t.co/cZl0wTfqGzYoav Artzi @yoavartzi
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31K Followers 588 Following Associate professor at CMU, studying natural language processing and machine learning.Mark Dredze @mdredze
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485 Followers 600 Following Assistant Professor @Middlebury College PhD, MS @UMich | BA @CarletonCollege Natural Language Processing + Computational Social ScienceWeixin Liang @liang_weixin
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8K Followers 178 Following AI safety & alignment at Google DeepMind • associate professor at UC Berkeley EECS • proud mom of an amazing 2yr oldConference on Languag.. @COLM_conf
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1K Followers 5K Following UKRI CDT PhD @ARTAIBath @bathnlp @UniofBath 🇬🇧. Language generation, evals, and alignment. Research Faculty @NationalUPhil 🇵🇭. He/him.Hang Jiang 💭 @hjian42
1K Followers 1K Following phd-ing @mit in nlp+hci+css / bridging human communication with ai / ex- @allen_ai @google @ibm @apple @stanfordnlp / fan @manutd @cristianoChristin Seifert @cse.. @SeifertChristin
155 Followers 71 Following Artificial Intelligence in medicine, making AI/ML transparent, understandable and trustworthy. Professor at @Uni_MR and @UTwente. She/her.Tom Hosking @tomhosking
784 Followers 609 Following PhD student in NLP @EdinburghNLP @Edin_CDT_NLP. Ex @cohere @BloomsburyAI @UCL @DRWTrading@jessyjli @PittTweet Thank you so much Jessy!! 🤩 Looking forward to some fun and cool colab in the near future 🤠🤠
today's our last day of classes, so let me share 2 exciting updates 🥁 1⃣ Starting Fall 2025, I will begin as an Assistant Professor of Computational Linguistics at the University of Pittsburgh @PittTweet 🤠 Looking forward to exploring Pittsburgh (send all your recs)! [1/4]
This week I successfully passed my Ph.D. proposal 🎉 The title of the talk: "Generative Models from Lossy Measurements". Here is a little 🧵 about it
As someone who spent 6 years working in this area and wrote an entire dissertation I wholeheartedly disagree that LLMs are as creative as humans.
I used to be a skeptic too. Sure, LLMs fall down on math & complex logic (as do lots of humans). They also learn w/o real world contexts. But they understand what's Relevant & respond appropriately! When it comes to lng, they seem to be as creative as humans
@YatingWu96 @ritikarmangla @AlexGDimakis @gregd_nlp @jessyjli Congrats Yating, great work!
Proud Advisor Moment: Giannis passes his Phd Proposal with flying colors. You can see this great thread about (some of) his work. The new in-painting attack for checking if an image is in the training set of a diffusion model is one of my favorites.
This week I successfully passed my Ph.D. proposal 🎉 The title of the talk: "Generative Models from Lossy Measurements". Here is a little 🧵 about it
We are very excited that our first GH200 nodes have arrived in TACC for our GenAI center. Here is one. Fun facts: NVIDIA makes GH200 'superchips' (i.e. modules), a GH200 DGX box and a GH200 rack, which are all different. As Dan Stanzione, our TACC director, kindly explained…
Looks very cool!
Today was this semester's last session of the ✨Social Applications and Impact of NLP✨ seminar that I organized. Huge thanks to the first author presenters who joined us! What an amazing lineup of papers, check them out: jessyli.com/courses/lin393
@jessyjli Very cool. I'm going through the papers one by one.
@jessyjli It is a very cool lineup of papers. I would like to share our paper with you for comments and suggestions: arxiv.org/abs/2403.10596
@jessyjli Thanks for having us!! ❤️❤️
What a roller coaster the past few months have been! I'm excited and grateful for the opportunity to collaborate with such a badass team. Stay tuned for more updates - blog posts, model improvements, and more...
.@SnowflakeDB is thrilled to announce #SnowflakeArctic: A state-of-the-art large language model uniquely designed to be the most open, enterprise-grade LLM on the market. This is a big step forward for open source LLMs. And it’s a big moment for Snowflake in our #AI journey as…
A good summarizing number of the 'weight class' of an LLM should be the product of parameters*training tokens.
The model card has some more interesting info too: github.com/meta-llama/lla… Note that Llama 3 8B is actually somewhere in the territory of Llama 2 70B, depending on where you look. This might seem confusing at first but note that the former was trained for 15T tokens, while the…
📣 NEW PAPER 📣 Excited to share my first PhD paper accepted to NAACL 2024 Findings! Can smaller #LLMs use fine-grained feedback to refine their translations? 🤔 🔎 arxiv.org/abs/2404.07851
Join us on May 2 for Disinformation Day 2024! This virtual event brings together researchers and thought leaders from a variety of disciplines and sectors to discuss approaches to curbing the spread of digital disinformation. Learn more and register: disinfoday.github.io
We're hiring a data engineer to help with Dolma! Come work with me on: - data acquisition 🕷️ - high–performance data pipelines ⚡️ - open source science 🔄 Please apply if you have experience in any of those! DM for questions, job link in thread 🧵
Can LMs correctly distinguish🔎 confusing entity mentions in multiple documents? We study how current LMs perform QA task when provided ambiguous questions and a document set📚 that requires challenging entity disambiguation. Work done at @UTCompSci✨ w/ @xiye_nlp, @eunsolc
Can LLM comprehensively capture information spread across multiple documents? Can LLM distinguish confusing entity mentions? Please check out our preprint on multi-document reasoning for LLM, focusing on entity disambiguation!
Can LMs correctly distinguish🔎 confusing entity mentions in multiple documents? We study how current LMs perform QA task when provided ambiguous questions and a document set📚 that requires challenging entity disambiguation. Work done at @UTCompSci✨ w/ @xiye_nlp, @eunsolc
Got some photos from @genlawcenter at DC, where I talked about Differential privacy, what it is and what it’s not! Talk slides: homes.cs.washington.edu/~niloofar/talk…
I will be talking about what differential privacy is, what it is not and what some common misconceptions are in privacy for generative AI in a couple hours @genlawcenter in DC! Join us on the live stream: tinyurl.com/genlaw-stream Slides: tinyurl.com/genlaw-dp-2024
Check out our latest method of finding high salience questions. Finetuning works, in-context learning doesn't.
LLMs can mimic human curiosity by generating open-ended inquisitive questions given some context, similar to how humans wonder when they read. But which ones are more important to be answered?🤔 We predict the salience of questions, substantially outperforming GPT-4.🌟 🧵1/5