2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 2 cited
Grounded Intuition of GPT-Vision's Abilities with Scientific Images
Alyssa Hwang, Andrew Head, Chris Callison-Burch
GPT-Vision has impressed us on a range of vision-language tasks, but it comes with the familiar new challenge: we have little idea of its capabilities and limitations. In our study…
cs.SE2023★ 1 cited
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications
Andrew Zhu, Liam Dugan, Alyssa Hwang +1
Language model applications are becoming increasingly popular and complex, often including features like tool usage and retrieval augmentation. However, existing frameworks for suc…