40 citations · 42 across the 4 of their papers we have counts for
4 papers
Attribution Gradients: Incrementally Unfolding Citations for Critical Examination of Attributed AI Answers
Hita Kambhamettu, Alyssa Hwang, Philippe Laban +1
AI answer engines are a relatively new kind of information search tool: rather than returning a ranked list of documents, they generate an answer to a search question with inline c…
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
Yue Yang, Ajay Patel, Matt Deitke +8
Reasoning about images with rich text, such as charts and documents, is a critical application of vision-language models (VLMs). However, VLMs often struggle in these domains due t…
Ivie: Lightweight Anchored Explanations of Just-Generated Code
Litao Yan, Alyssa Hwang, Zhiyuan Wu +1
Programming assistants have reshaped the experience of programming into one where programmers spend less time writing and more time critically examining code. In this paper, we exp…
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…