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 & speakers!
▪️Apr 28: @dan_fried's talk at the DL4C about "Inducing Functions to Improve LLM Agents"
🧵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