Excited to attend #NeurIPS2025 with Apple! Find out more about our accepted papers, talks, booth and more here

Cannot attend #ICLR2025 in person (will be NAACL and Stanford soon!), but do check out 👇 ▪️Apr 27: "Exploring the Pre-conditions for Memory-Learning Agents" led by @viishruth and Vishwa Shah, at SSI-FM workshop ▪️Apr 28: our @DL4Code workshop with a fantastic line of works &

🧵We’ve spent the last few months at @datologyai building a state-of-the-art data curation pipeline and I’m SO excited to share our first results: we curated image-text pretraining data and massively improved CLIP model quality, training speed, and inference efficiency 🔥🔥🔥

Bittersweet as our 1st batch of Datologists graduates today🎓4/5 interns heading back to school. Working with these rockstars @datologyai has been an incredibly rewarding journey—right from hiring them to seeing them grow in agency, capability & independence in such a short time!

New paper on LLMs+culture! 🎊🎉 Thrilled to share our work on NormAd, a dataset evaluating whether LLMs can adapt to the diversity of cultural norms worldwide! (Spoiler: they can't!) ArXiv: https://t.co/vZUSsHC34u w/ @akhila_yerukola @vishwayvs @_doctor_kat @MaartenSap [1/n]

🚨New paper🚨 Contrastively trained Vision-Language Model’s (like CLIP) are poor at compositional reasoning Our new paper improves this: “Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality” https://t.co/LccQI4ojST

Had a great time meeting enthusiasts from AI and open-source! Got to know about the amazing story of @huggingface from @ClementDelangue himself! Thanks for hosting this event

Kudos to my collaborators especially students and faculty at BITS Goa: three papers at the upcoming IJCLR conference including this one. We are looking for pre-doc/post-doc applicants in Neurosymbolic reasoning. @TCSResearch @SforAiDL