activity
20182026
most citedIntel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning

105 citations · 149 across the 21 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CV2024

ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution

Sungduk Yu, Brian L. White, Anahita Bhiwandiwalla +6

Detecting and attributing temperature increases driven by climate change is crucial for understanding global warming and informing adaptation strategies. However, distinguishing hu…

cs.CL2024

Why do LLaVA Vision-Language Models Reply to Images in English?

Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson +6

We uncover a surprising multilingual bias occurring in a popular class of multimodal vision-language models (VLMs). Including an image in the query to a LLaVA-style VLM significant…

cs.CV2024

Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals

Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla +1

With the advent of Large Language Models (LLMs) possessing increasingly impressive capabilities, a number of Large Vision-Language Models (LVLMs) have been proposed to augment LLMs…

cs.CV2024★ 4 cited

LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models

Gabriela Ben Melech Stan, Estelle Aflalo, Raanan Yehezkel Rohekar +7

In the rapidly evolving landscape of artificial intelligence, multi-modal large language models are emerging as a significant area of interest. These models, which combine various…

cs.CV2024

Uncovering Bias in Large Vision-Language Models with Counterfactuals

Phillip Howard, Anahita Bhiwandiwalla, Kathleen C. Fraser +1

With the advent of Large Language Models (LLMs) possessing increasingly impressive capabilities, a number of Large Vision-Language Models (LVLMs) have been proposed to augment LLMs…