1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
VisionArena: 230K Real World User-VLM Conversations with Preference Labels
Christopher Chou, Lisa Dunlap, Koki Mashita +5
With the growing adoption and capabilities of vision-language models (VLMs) comes the need for benchmarks that capture authentic user-VLM interactions. In response, we create Visio…
cs.CL2024
VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
Lisa Dunlap, Krishna Mandal, Trevor Darrell +2
Large language models (LLMs) often exhibit subtle yet distinctive characteristics in their outputs that users intuitively recognize, but struggle to quantify. These "vibes" -- such…