563 citations · 655 across the 15 of their papers we have counts for
5 papers · 1 filter
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
Martha Lewis, Nihal V. Nayak, Peilin Yu +4
Large-scale neural network models combining text and images have made incredible progress in recent years. However, it remains an open question to what extent such models encode co…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…
CEREAL: Few-Sample Clustering Evaluation
Nihal V. Nayak, Ethan R. Elenberg, Clemens Rosenbaum
Evaluating clustering quality with reliable evaluation metrics like normalized mutual information (NMI) requires labeled data that can be expensive to annotate. We focus on the und…
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
Nihal V. Nayak, Peilin Yu, Stephen H. Bach
We introduce compositional soft prompting (CSP), a parameter-efficient learning technique to improve the zero-shot compositionality of large-scale pretrained vision-language models…
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach, Victor Sanh, Zheng-Xin Yong +24
PromptSource is a system for creating, sharing, and using natural language prompts. Prompts are functions that map an example from a dataset to a natural language input and target…