Vishwa Shah
@vishwayvsNLP/ML Grad Student @LTIatCMU | Former AI Resident @MetaAI, Menlo Park | CS @BITSPilaniGoa
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🧵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: arxiv.org/abs/2404.12464 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” arxiv.org/pdf/2305.13812…
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
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces deepai.org/publication/kn… by Vishwa Shah et al. including @gmshroff #NeuralNetwork #DistributedRepresentations
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