How and where does CLIP process negation?

V Quantmeyer, P Mosteiro, A Gatt - arXiv preprint arXiv:2407.10488, 2024 - arxiv.org
Various benchmarks have been proposed to test linguistic understanding in pre-trained
vision\& language (VL) models. Here we build on the existence task from the VALSE …

Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation Practices

P Schmidtová, S Mahamood, S Balloccu… - arXiv preprint arXiv …, 2024 - arxiv.org
Automatic metrics are extensively used to evaluate natural language processing systems.
However, there has been increasing focus on how they are used and reported by …

CASA: Causality-driven Argument Sufficiency Assessment

X Liu, Y Feng, KW Chang - arXiv preprint arXiv:2401.05249, 2024 - arxiv.org
The argument sufficiency assessment task aims to determine if the premises of a given
argument support its conclusion. To tackle this task, existing works often train a classifier on …

How direct is the link between words and images?

H Shahmohammadi, M Heitmeier… - The Mental …, 2023 - jbe-platform.com
Günther et al.(2022) investigated the relationship between words and images in which they
concluded the possibility of a direct link between words and embodied experience. In their …

DietNerd: A Nutrition Question-Answering System That Summarizes and Evaluates Peer-Reviewed Scientific Articles.

S Wu, Z Yacub, D Shasha - Applied Sciences (2076-3417), 2024 - search.ebscohost.com
DietNerd is a large language model-based system designed to enhance public health
education in diet and nutrition. The system responds to user questions with concise …

How does CLIP process negation? A multimodal interpretability study

V Quantmeyer - 2024 - studenttheses.uu.nl
Various benchmarks have measured linguistic capabilities of vision-and-language (VL)
models, but do not provide insights into how models implement these capabilities. This …