1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.IR2025★ 1 cited
QuOTE: Question-Oriented Text Embeddings
Andrew Neeser, Kaylen Latimer, Aadyant Khatri +2
We present QuOTE (Question-Oriented Text Embeddings), a novel enhancement to retrieval-augmented generation (RAG) systems, aimed at improving document representation for accurate a…
cs.HC2024★ 1 cited
Steering LLM Summarization with Visual Workspaces for Sensemaking
Xuxin Tang, Eric Krokos, Can Liu +4
Large Language Models (LLMs) have been widely applied in summarization due to their speedy and high-quality text generation. Summarization for sensemaking involves information comp…