In any case, the work is featuring at an interesting-looking workshop this weekend, put on by @katherinelee.bsky.social, @vaidehipatil.bsky.social, and others. More info here: mugenworkshop.github.io

Extremely excited to announce that I will be joining
@utaustin.bsky.social Computer Science in August 2025 as an Assistant Professor! 🎉

🚨 Introducing our @tmlrorg.bsky.social paper “Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation”
We present UnLOK-VQA, a benchmark to evaluate unlearning in vision-and-language models, where both images and text may encode sensitive or private information.

In Singapore for #ICLR2025 this week to present papers + keynotes 👇, and looking forward to seeing everyone -- happy to chat about research, or faculty+postdoc+phd positions, or simply hanging out (feel free to ping)! 🙂

Also meet our awesome students/postdocs/collaborators presenting their work.

Come chat about unlearning with us!!

🚨Exciting @icmlconf.bsky.social workshop alert 🚨

We’re thrilled to announce the #ICML2025 Workshop on Machine Unlearning for Generative AI (MUGen)!

⚡Join us in Vancouver this July to dive into cutting-edge research on unlearning in generative AI with top speakers and panelists! ⚡

🥳🥳 Honored and grateful to be awarded the 2025 Apple Scholars in AI/ML PhD Fellowship! ✨

Huge shoutout to my advisor @mohitbansal.bsky.social, & many thanks to my lab mates @unccs.bsky.social , past collaborators + internship advisors for their support ☺️🙏

machinelearning.apple.com/updates/appl...

🚨UPCORE is our new method for balancing unlearning/forgetting with maintaining model performance.

Best part is it works by selecting a coreset from the data rather than changing the model, so it is compatible with any unlearning method, with consistent gains for 3 methods + 2 tasks!

🚨 Introducing UPCORE, to balance deleting info from LLMs with keeping their other capabilities intact.

UPCORE selects a coreset of forget data, leading to a better trade-off across 2 datasets and 3 unlearning methods.

🧵👇

🎉 Congrats to the awesome students, postdocs, & collaborators for this exciting batch of #ICLR2025 and #NAACL2025 accepted papers (FYI some are on the academic/industry job market and a great catch 🙂), on diverse, important topics such as:

-- adaptive data generation environments/policies
...
🧵

🎉Very excited that our work on Persuasion-Balanced Training has been accepted to #NAACL2025! We introduce a multi-agent tree-based method for teaching models to balance:

1️⃣ Accepting persuasion when it helps
2️⃣ Resisting persuasion when it hurts (e.g. misinformation)

arxiv.org/abs/2410.14596
🧵 1/4

Congratulations to my advisor, Mohit! 🎉 So excited to see his impactful contributions to AI honored with the #AAAI Fellow recognition, coming right after the prestigious #PECASE award. Well-earned and inspiring—congrats! 🙂

Thanks @AAAI for selecting me as a #AAAI Fellow! Very humbled+excited to be a part of the respected cohort of this+past years' fellows (& congrats everyone)! 🙏

100% credit goes to my amazing past/current students+postdocs+collab for their work (& thanks to mentors+family)!💙
aaai.org/about-aaai/a...

Deeply honored & humbled to have received the Presidential #PECASE Award by the @WhiteHouse and @POTUS office! 🙏

Most importantly, very grateful to my amazing mentors, students, postdocs, collaborators, and friends+family for making this possible, and for making the journey worthwhile + beautiful 💙

Jaemin is an expert in multimodal AI, and his practical and insightful suggestions have always been incredibly helpful to me. I’m confident that he will continue to achieve great things in his career!

🚨 I’m on the academic job market!
j-min.io

I work on ✨Multimodal AI✨, advancing reasoning in understanding & generation by:
1⃣ Making it scalable
2⃣ Making it faithful
3⃣ Evaluating + refining it

Completing my PhD at UNC (w/ @mohitbansal.bsky.social).
Happy to connect (will be at #NeurIPS2024)!

👇🧵

✨I am on the faculty job market in the 2024-2025 cycle!✨

My research centers on advancing Responsible AI, specifically enhancing factuality, robustness, and transparency in AI systems.

If you have relevant positions, let me know! lasharavichander.github.io Please share/RT!

Working with Elias has been an absolute pleasure! His passion for research and dedication to mentoring are inspiring. Can’t wait to see all the amazing work his lab will do as he becomes a professor! ✨

Congratulations to #UNC CS student David Wan for winning the prestigious 2024 Google PhD Fellowship in NLP. 🎉🥳

A very well-deserved honor for his impactful work on factual and faithful text+multimodal generation with Prof. @mohitbansal.bsky.social and UNC NLP group!

▶️ blog.google/technology/r...