UChicago C&I @UChicagoCI
Communication & Intelligence @UChicago https://t.co/TBN9Lxwrqb (@universeinanegg, @MinaLee__, and @ChenhaoTan), friends with @TTIC_Connect, @ChicagoHAI. Joined October 2020-
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🔥Thrilled to introduce HypoGeniC: Hypothesis Generation with Large Language Models 🔥 How can LLMs systematically propose and verify hypotheses based on observations for #ScientificDiscovery? Read our paper to find out! 📄: arxiv.org/abs/2404.04326… Details in 🧵 (1/n):
A Design Space for Intelligent and Interactive Writing Assistants #CHI2024 👩🏻✏️🤖 What writing assistants do you use? What else are out there and how do they differ? What do we need to consider when designing new writing assistants? 🔗 arxiv.org/abs/2403.14117 (1/6)
This talk is open to the public. Hope to see you in the afternoon!
My students and I cannot make EMNLP this year, here is a brief overview of our work on political bias in summarization (arxiv.org/abs/2305.02321 ) and explanations of label variation (arxiv.org/abs/2310.13850). #EMNLP2023
If you want a respite from OpenAI drama, how about joining academia? I'm starting Conceptualization Lab, recruiting PhDs & Postdocs! We need new abstractions to understand LLMs. Conceptualization is the act of building abstractions to see something new. conceptualization.ai
Our tutorial about explanation will be presented in NAACL 2024! More details to be announced. with @hanjie_chen @xiye_nlp @ChenhaoTan @anmarasovic @sarahwiegreffe @VeronicaLyu
Our tutorial about explanation will be presented in NAACL 2024! More details to be announced. with @hanjie_chen @xiye_nlp @ChenhaoTan @anmarasovic @sarahwiegreffe @VeronicaLyu
Tagging along: I am looking for postdocs too! Email/DM me if you are interested!
Excited about the 2023 Symposium on Human+AI @DSI_UChicago this year on September 29! We have a stellar list of speakers. Please spread the word and/or submit a poster (abstract) by Sep 8 if you are in the Chicagoland! chicagohai.github.io/news/230813-sy…
It’s time to start teasing out what human-like media generated by AI systems means to its viewers, not just whether it’s human-like! But how do we escape getting trapped in Turing-test like comparisons? We wrote a little piece about some pitfalls of interpreting generated media.
It’s time to start teasing out what human-like media generated by AI systems means to its viewers, not just whether it’s human-like! But how do we escape getting trapped in Turing-test like comparisons? We wrote a little piece about some pitfalls of interpreting generated media.
Unfortunately, I cannot make #ICML in person, but check out my pre-recorded talk for the AI&HCI workshop: youtube.com/watch?v=QlOuWb…, titled "Three Lessons Towards Human-Centered Explanations"!
I’m locked out of my twitter account (help @TwitterSupport?) so please dm me here or email me if you need to ping me while you’re at ACL!
I’m locked out of my twitter account (help @TwitterSupport?) so please dm me here or email me if you need to ping me while you’re at ACL!
How does natural language shape bilateral bargaining? To study this, we contribute a dataset of spoken natural language (NL) negotiations & a control without NL. We find that NL promotes cooperation. Being patient and reactive is an effective strategy. 📄arxiv.org/abs/2306.07117
Paper accepted to #CSCW2023: arxiv.org/abs/2301.09656 When people explain, they selectively tailor it to the recipient. This selectivity is missing from current XAI techniques, which concern little about how to *communicate* explanations. We propose a framework for this! 🧵
Enjoyed presenting about our group's work on spoken language analysis for cognitive health assessment at the @ChicagoNLP @TTIC_Connect NLP Seminar today! Some of the work presented will also be at #acl2023nlp. Check out our preprint for more details 📄: natalieparde.com/files/acl2023_…
Rada Mihalcea @radamihalcea
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484 Followers 1K Following 言語化できない知を明示的に利用することが好きです。孤独に自由に生きたい。公の人。プロレス勉強中。それは、あなたが設定したタスクを解けただけなのですが、世界を理解したような顔をしないでいただけませんか。they/them Mx.Tianyu Cao @tianyu_cao_24
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52K Followers 464 Following Professor, Programmer in NYC. Cornell Tech, Hugging Face 🤗 https://t.co/cZl0wTfqGzRada Mihalcea @radamihalcea
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27K Followers 355 Following Human-centered AI #HCAI, NLP & ML. Director @trails_ai. Prof @umdCS, member of @CLIPumd @HCIL_umd, researcher @MSFTresearch. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.hci.social/@jbigham @jeffbigham
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36K Followers 774 Following FR/US/GB AI/ML Person, Director of Research at @GoogleDeepMind, Honorary Professor at @UCL_DARK, @ELLISforEurope Fellow. All posts are personal.🔥Thrilled to introduce HypoGeniC: Hypothesis Generation with Large Language Models 🔥 How can LLMs systematically propose and verify hypotheses based on observations for #ScientificDiscovery? Read our paper to find out! 📄: arxiv.org/abs/2404.04326… Details in 🧵 (1/n):
A Design Space for Intelligent and Interactive Writing Assistants #CHI2024 👩🏻✏️🤖 What writing assistants do you use? What else are out there and how do they differ? What do we need to consider when designing new writing assistants? 🔗 arxiv.org/abs/2403.14117 (1/6)
Looking forward to the visit!
We're thrilled to host Prof. Chenhao Tan (@ChenhaoTan) this week as the final speaker in our Computational Social Science series! Come join us at the Kellogg Global Hub on Thursday! 🗓️2:00 pm, February 22nd 📍Kellogg Global Hub, room 5101
This talk is open to the public. Hope to see you in the afternoon!
Join us today, February 20, at 2pm in JCL 390 for a discussion with @ChenhaoTan on human-AI decision making!
I will be in New Orleans from Saturday until Monday. Happy to chat about interpretability, alignment, human-AI interaction, esp. in medical and political decision making. DM/email me if you want to chat! I am also recruiting PhD students and postdocs. #NeurIPS2023
My students and I cannot make EMNLP this year, here is a brief overview of our work on political bias in summarization (arxiv.org/abs/2305.02321 ) and explanations of label variation (arxiv.org/abs/2310.13850). #EMNLP2023
Looking forward to the visit!
Join @MIT_ide Wed. Oct. 18, 4-5pm ET for our seminar w @ChenhaoTan to discuss #humancenteredai 👉@MIT community + @MIT_ide stakeholders join in-person: bit.ly/ideseminarinpe… OR 👉Anyone can join virtually: bit.ly/ideseminarvirt… We'll resume 12-1pm ET for rest of semester!
Our tutorial about explanation will be presented in NAACL 2024! More details to be announced. with @hanjie_chen @xiye_nlp @ChenhaoTan @anmarasovic @sarahwiegreffe @VeronicaLyu
NAACL 2024 (2/4) @naaclmeeting - Explanation in the Era of Large Language Models.Zining Zhu, Hanjie Chen, Xi Ye, Chenhao Tan, Ana Marasovic, Sarah Wiegreffe and Qing Lyu - Catch Me If You GPT: Tutorial on Deepfake Texts.Adaku Uchendu, Saranya Venkatraman, Thai Le and Dongwon Lee
Tagging along: I am looking for postdocs too! Email/DM me if you are interested!
I'm looking for a postdoc! Topics: LLMs, text generation, QA, medical NLP. Join two amazing postdocs in my group: @hanjie_chen (phd @CS_UVA, incoming prof @RiceCompSci) and @sharonlevy21 (phd @ucsbNLP, incoming prof @RutgersU) Apply: apply.interfolio.com/108613 🙏retweet Questions?
Excited about the 2023 Symposium on Human+AI @DSI_UChicago this year on September 29! We have a stellar list of speakers. Please spread the word and/or submit a poster (abstract) by Sep 8 if you are in the Chicagoland! chicagohai.github.io/news/230813-sy…
It’s time to start teasing out what human-like media generated by AI systems means to its viewers, not just whether it’s human-like! But how do we escape getting trapped in Turing-test like comparisons? We wrote a little piece about some pitfalls of interpreting generated media.
Now for something a little different - A new essay on our tendencies to enact a kind of aestheticized Turing test w/ generative AI, one that inherits the type of judgments we apply to art 🎨 W/ Ari Holtzman @universeinanegg Andrew Gelman @StatModeling statmodeling.stat.columbia.edu/2023/08/16/art…
We need a lot more discussion about what explanations should be doing and what users should be *doing* with explanations in the first place! Chenhao's talk breaks down this problem space elegantly and shows how we might begin to approach it
Unfortunately, I cannot make #ICML in person, but check out my pre-recorded talk for the AI&HCI workshop: youtube.com/watch?v=QlOuWb…, titled "Three Lessons Towards Human-Centered Explanations"!
Unfortunately, I cannot make #ICML in person, but check out my pre-recorded talk for the AI&HCI workshop: youtube.com/watch?v=QlOuWb…, titled "Three Lessons Towards Human-Centered Explanations"!
So well deserved! Huge congratulations to Martha Palmer!!!
Huge congratulations to Martha Palmer of @BoulderNLP for winning the #acl2023nlp Lifetime Achievement Award! Martha deserves more recognition for her pioneering work in producing labeled datasets for #NLProc semantics in the 1990s/early 2000s, well before things like ImageNet.
Observation on *CL. It’s a deeper tribal affiliation than ML. If you skate b/w disciplines, you’ll get lots of “are you an NLP person?” at ACL. Interestingly, it’s a friendly community, and the question is never hostile. Feels like a more observant friend asking “are you Jewish?
Super excited about this article on some of the more surprising findings of our #ACL2023 paper on structured prompting! Stop by our poster (Tues, 9am-10:30 EST) to chat if you want to learn more ✨
LLMs are amazing, but they are also highly sensitive to how you write the input prompt Their performance can vary greatly when only slight changes to the prompting format are made -- even when these changes mean the same thing to a human Learn more: thegradient.pub/what-do-llms-k…
Happening in 3 minutes at Metropolitan East!
🔥Paper Alert!! #NLProc How can we effectively learn from natural language explanations while leveraging LLMs? Read our #ACL2023NLP paper: 🔥FLamE: Few-shot Learning from Natural Language Explanations 📄: arxiv.org/abs/2306.08042 📽️: youtu.be/rnSIFCeDq_Y Details in 🧵(1/n)
On my way to Toronto! Looking forward to meet old and new friends! #ACL2023
I’m around today and talking to folks about what the future of studying generative models might look like, how to meaningfully decompose language model behavior into useful categories, and how to do science as generalization becomes difficult to assess! If you see me say hello!
While demand for generative model training soars 📈, I think a new field is coalescing that’s focused on trying to make sense of generative models _once they’re already trained_: characterizing their behaviors, differences, and underlying mechanisms…so we wrote a paper about it!
How does natural language shape bilateral bargaining? To study this, we contribute a dataset of spoken natural language (NL) negotiations & a control without NL. We find that NL promotes cooperation. Being patient and reactive is an effective strategy. 📄arxiv.org/abs/2306.07117