1 citations · 2 across the 7 of their papers we have counts for
3 papers · 1 filter
Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning
Amita Kamath, Jack Hessel, Khyathi Chandu +3
The lack of reasoning capabilities in Vision-Language Models (VLMs) has remained at the forefront of research discourse. We posit that this behavior stems from a reporting bias in…
The Hard Positive Truth about Vision-Language Compositionality
Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang +1
Several benchmarks have concluded that our best vision-language models (e.g., CLIP) are lacking in compositionality. Given an image, these benchmarks probe a model's ability to ide…
What's "up" with vision-language models? Investigating their struggle with spatial reasoning
Amita Kamath, Jack Hessel, Kai-Wei Chang
Recent vision-language (VL) models are powerful, but can they reliably distinguish "right" from "left"? We curate three new corpora to quantify model comprehension of such basic sp…