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Alyssa Unell

2 accepted papers

2024

Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding

NeurIPS 2024poster

Recent advances in microscopy have enabled the rapid generation of terabytes of image data in cell biology and biomedical research. Vision-language models (VLMs) offer a promising solution for large-scale biological image analysis, enhancing researchers’ efficiency, identifying new image biomarkers,…

Cited by 1SourcePDFScholar
2024

Why are Visually-Grounded Language Models Bad at Image Classification?

NeurIPS 2024poster

Image classification is one of the most fundamental capabilities of machine vision intelligence. In this work, we revisit the image classification task using visually-grounded language models (VLMs) such as GPT-4V and LLaVA. We find that existing proprietary and public VLMs, despite often using CLIP…