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08/12/2023
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use
We introduce VisIT-Bench (Visual InsTruction Benchmark), a benchmark for...
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08/02/2023
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
We introduce OpenFlamingo, a family of autoregressive vision-language mo...
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06/26/2023
FunQA: Towards Surprising Video Comprehension
Surprising videos, e.g., funny clips, creative performances, or visual i...
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05/24/2023
Text encoders are performance bottlenecks in contrastive vision-language models
Performant vision-language (VL) models like CLIP represent captions usin...
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03/13/2023
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images
Weird, unusual, and uncanny images pique the curiosity of observers beca...
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10/14/2021
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
The common practice for training commonsense models has gone from-human-...
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06/04/2021
MERLOT: Multimodal Neural Script Knowledge Models
As humans, we understand events in the visual world contextually, perfor...
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04/18/2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning
Image captioning has conventionally relied on reference-based automatic ...
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10/30/2020
Domain-Specific Lexical Grounding in Noisy Visual-Textual Documents
Images can give us insights into the contextual meanings of words, but c...
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10/13/2020
Does my multimodal model learn cross-modal interactions? It's harder to tell than you might think!
Modeling expressive cross-modal interactions seems crucial in multimodal...
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04/29/2020
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube
Pretraining from unlabelled web videos has quickly become the de-facto m...
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10/07/2019
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions
Instructional videos get high-traffic on video sharing platforms, and pr...
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04/16/2019
Unsupervised Discovery of Multimodal Links in Multi-Image, Multi-Sentence Documents
Images and text co-occur everywhere on the web, but explicit links betwe...
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04/15/2019
Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features
Controversial posts are those that split the preferences of a community,...
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04/18/2018
Quantifying the visual concreteness of words and topics in multimodal datasets
Multimodal machine learning algorithms aim to learn visual-textual corre...
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03/06/2017
Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity
The content of today's social media is becoming more and more rich, incr...
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08/09/2015
