1.3k citations · 1.5k across the 14 of their papers we have counts for
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A Systematic Investigation of Commonsense Knowledge in Large Language Models
Xiang Lorraine Li, Adhiguna Kuncoro, Jordan Hoffmann +3
Language models (LMs) trained on large amounts of data have shown impressive performance on many NLP tasks under the zero-shot and few-shot setup. Here we aim to better understand…
Probing Image-Language Transformers for Verb Understanding
Lisa Anne Hendricks, Aida Nematzadeh
Multimodal image-language transformers have achieved impressive results on a variety of tasks that rely on fine-tuning (e.g., visual question answering and image retrieval). We are…
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers
Lisa Anne Hendricks, John Mellor, Rosalia Schneider +2
Recently multimodal transformer models have gained popularity because their performance on language and vision tasks suggest they learn rich visual-linguistic representations. Focu…