291 citations · 625 across the 17 of their papers we have counts for
19 papers
MarkushGlyph and OCSRGlyph: Improved Chemical Structure Recognition
Alex Andonian, Samuel G Rodriques, Andrew D White +1
Chemical structures appear in patents and the scientific literature as images. For programmatic usage, such as indexing in databases or constructing machine learning model training…
LABBench2: An Improved Benchmark for AI Systems Performing Biology Research
Jon M Laurent, Albert Bou, Michael Pieler +9
Optimism for accelerating scientific discovery with AI continues to grow. Current applications of AI in scientific research range from training dedicated foundation models on scien…
Three ways to improve feature alignment for open vocabulary detection
Relja Arandjelović, Alex Andonian, Arthur Mensch +3
The core problem in zero-shot open vocabulary detection is how to align visual and text features, so that the detector performs well on unseen classes. Previous approaches train th…
Mass-Editing Memory in a Transformer
Kevin Meng, Arnab Sen Sharma, Alex Andonian +2
Recent work has shown exciting promise in updating large language models with new memories, so as to replace obsolete information or add specialized knowledge. However, this line o…
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines
Camilo Fosco, Emilie Josephs, Alex Andonian +1
Deepfakes can fuel online misinformation. As deepfakes get harder to recognize with the naked eye, human users become more reliant on deepfake detection models to help them decide…
Robust Cross-Modal Representation Learning with Progressive Self-Distillation
Alex Andonian, Shixing Chen, Raffay Hamid
The learning objective of vision-language approach of CLIP does not effectively account for the noisy many-to-many correspondences found in web-harvested image captioning datasets,…