Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantityby Siddharth Joshi, Arnav Jain, Ali Payani,…
FlexCap: Describe Anything in Images in Controllable Detailby Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew…
Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object…
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMsby M. Jehanzeb Mirza, Leonid Karlinsky, Wei Lin,…
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalizationby Sai Prasanna, Karim Farid,…
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Studyby Chenguang Wang, Ruoxi Jia, Xin…
Improving Medical Multi-modal Contrastive Learning with Expert Annotationsby Yogesh Kumar, Pekka MarttinenFirst submitted to arxiv…
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speakingby Eric Zelikman, Georges Harik, Yijia…
Zero-shot and Few-shot Generation Strategies for Artificial Clinical Recordsby Erlend Frayling, Jake Lever, Graham McDonaldFirst…
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Expertsby Shengzhuang Chen, Jihoon…