* * * New dataset * * * BBQ: The Bias Benchmark for QA with @the_pawgrammer @meloncholist Vishakh Padmakumar Jason Phang @abitidiomatic Phu-Mon Htut Sam Bowman 1/9

Do you know that you can donate to QueerInAI’s AWESOME graduate school financial aid program here: paypal.com/donate/?hosted… ?! We’ve got record number of apps this year, SO LETS PUMP SOME 💰 IN! I’ll be matching donations up to $2,500, reply to this tweet with a screenshot!

We're back with the 3rd virtual + in-person* NYU AI School for early undergrads and others from underserved communities, including hands-on tutorials for non-programmers to break into the field. It is FREE and we have rolling admits so apply now! bit.ly/nyu-ai-school-…

MAUVE has received an Outstanding Paper Award at NeurIPS 2021! Honored to be part of a great team -- and an extra congrats to first author Krishna Pillutla

It's gonna be a fantastic 5 days of #AI and #ML discussions, and more, for over 400 wonderful students!

This is starting now! We're no longer accepting new registrations—just broadcasting how proud I am for what Swapneel Mehta @meloncholist Phu-Mon Htut Alex Wang Angelica Chen Ilia Kulikov Katrina Drozdov (Evtimova) & co. are pulling off here.

Excited to share some new work on fairness and bias, in collaboration with Trista Cao Rahul Gupta Jwala Dhamala Varun Krishnan Kai-Wei Chang Aram Galstyan Context and key takeaways 👇

📢Check out our new paper arxiv.org/abs/2212.10003 w Najoung Kim 🫠 Sam Bowman Jackson Petty 😄🧵👇🏽

After a very long time planning this, we're excited to announce applications are now open for the 4th NYU AI School *in-person* NYU Center for Data Science Rolling admits, so apply soon -- deadline April 6th! nyu-mll.github.io/nyu-ai-school-…

To be presented at ACL2023. The dataset's been up for a while but now sharing explicitly: github.com/najoungkim/qaqa

Looking forward to presenting Inseq and my Amazon Science internship paper in Toronto this summer! 🥳 Very thankful to all my amazing coauthors for this double #ACL2023NLP acceptance! 🤗

Happy to share RAMP, a new prompting method to improve attribute-controlled MT capabilities of multilingual LLMs! 🌟 Work done at Amazon Science w/ Phu-Mon Htut, X. Niu, B. Hsu, A. Currey, Maria Nadejde and Georgiana Dinu, will appear in ACL 2023! Preprint: arxiv.org/abs/2305.17131

Heading to Toronto to attend ACL with the GroNLP squad! 🍁 Will present: - Inseq, interpretability tool for generative LMs (arxiv.org/abs/2302.13942) - RAMP prompting for ACT (arxiv.org/abs/2305.17131) First ACL, or want to talk about LM interpretability? DMs open! 🤗

I can’t make it to #ACL2023NLP but Najoung Kim 🫠 will be presenting our paper (QA)^2 today. Please check it out! 😇

📣 The deadline for submitting a 4-page extended abstract has been extended to September 22, AoE. Emerging (+established) scholars are invited to our long-running NeurIPS workshop on Machine Learning for Systems, ft. a keynote by Jeff Dean . mlforsystems.org #NeurIPS2024

Life update: I’m excited to share that I’ll be starting as faculty at the Max Planck Institute for Software Systems(Max Planck Institute for Software Systems) this Fall!🎉 I’ll be recruiting PhD students in the upcoming cycle, as well as research interns throughout the year: lasharavichander.github.io/contact.html

It is PhD application season again 🍂 For those looking to do a PhD in AI, these are some useful resources 🤖: 1. Examples of statements of purpose (SOPs) for computer science PhD programs: cs-sop.org [1/4]

📢 I'm recruiting PhD students at MPI!! Topics include: 1⃣ LLM factuality, reliable info synthesis and reasoning, personalization + applications in real-world inc. education, science 2⃣ Data-centric interpretability 3⃣Creativity in AI, esp scientific applications 🧵1/2