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

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! 🤗

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

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! 🤗

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

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 Data Science

Rolling admits, so apply soon -- deadline April 6th!
nyu-mll.github.io/nyu-ai-school-…

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

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 👇

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 Nikita Nangia Phu-Mon Htut Alex Wang Angelica Chen Ilia Kulikov Katrina Evtimova & co. are pulling off here.

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

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-…

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!

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

In 2020, my life was turned upside down -- I was encountering failure after failure and in deep depression. But that also turned out to be the most enlightening period. In October I was invited to give a talk at Google (thanks to Orhan Firat). It's out today: youtu.be/0blQp0_9NwY

Have any questions at all about grad school? Come to Queer in AI's Grad School AMA (Ask Me Anything) on October 10 at 8 am PDT! Several wonderful organizers will be around to help you with all your inquiries. RSVP at tinyurl.com/qai-grad-schoo… 🧡 Hope to see you there!!! 🌈🎓🎊🖤🏳️‍🌈

If you're applying to grad school this cycle, here's a plug for BU Linguistics (BU Linguistics)! I plan to participate in recruitment this year and would love to see applications from students who share my interests at the intersection of Ling/CogSci and NLP. _Very_ broadly,

Very proud about this work. Modeling uncertainty in MT evaluation is a path for more robust evaluation and quality estimation. Our paper does this seamlessly using COMET as a building block. Work done in the scope of the CMU Portugal MAIA project and DeepSPIN with Unbabel.