15 citations · 37 across the 6 of their papers we have counts for
7 papers
ColorA11Y: Enhancing Creative Design Workflows with Just-in-Time Color Accessibility Recommendations
Alexa Siu, Rajiv Jain, Abhinav Kannan +7
Effective color contrast in visual design is essential for content accessibility. While existing tools can identify contrast issues, they often operate in isolation from design wor…
Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception
Martin Feick, Xuxin Tang, Raul Garcia-Martin +5
Hybrid paper interfaces leverage augmented reality to combine the desired tangibility of paper documents with the affordances of interactive digital media. Typically, virtual conte…
Augmenting Textual Generation via Topology Aware Retrieval
Yu Wang, Nedim Lipka, Ruiyi Zhang +6
Despite the impressive advancements of Large Language Models (LLMs) in generating text, they are often limited by the knowledge contained in the input and prone to producing inaccu…
Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models
Raymond Fok, Nedim Lipka, Tong Sun +1
Knowledge workers often need to extract and analyze information from a collection of documents to solve complex information tasks in the workplace, e.g., hiring managers reviewing…
TaleStream: Supporting Story Ideation with Trope Knowledge
Jean-Peïc Chou, Alexa F. Siu, Nedim Lipka +3
Story ideation is a critical part of the story-writing process. It is challenging to support computationally due to its exploratory and subjective nature. Tropes, which are recurri…
PDFTriage: Question Answering over Long, Structured Documents
Jon Saad-Falcon, Joe Barrow, Alexa Siu +4
Large Language Models (LLMs) have issues with document question answering (QA) in situations where the document is unable to fit in the small context length of an LLM. To overcome…
Knowledge Graph Prompting for Multi-Document Question Answering
Yu Wang, Nedim Lipka, Ryan A. Rossi +3
The `pre-train, prompt, predict' paradigm of large language models (LLMs) has achieved remarkable success in open-domain question answering (OD-QA). However, few works explore this…