4 citations · 8 across the 5 of their papers we have counts for
5 papers
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…
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…
Large Language Models as Sous Chefs: Revising Recipes with GPT-3
Alyssa Hwang, Bryan Li, Zhaoyi Hou +1
With their remarkably improved text generation and prompting capabilities, large language models can adapt existing written information into forms that are easier to use and unders…
Rewriting the Script: Adapting Text Instructions for Voice Interaction
Alyssa Hwang, Natasha Oza, Chris Callison-Burch +1
Voice assistants have sharply risen in popularity in recent years, but their use has been limited mostly to simple applications like music, hands-free search, or control of interne…
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan +2
Argumentation is a type of discourse where speakers try to persuade their audience about the reasonableness of a claim by presenting supportive arguments. Most work in argument min…