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04/04/2023
Cross-Domain Image Captioning with Discriminative Finetuning
Neural captioners are typically trained to mimic human-generated referen...
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02/20/2023
Can discrete information extraction prompts generalize across language models?
We study whether automatically-induced prompts that effectively extract ...
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02/15/2023
Augmented Language Models: a Survey
This survey reviews works in which language models (LMs) are augmented w...
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02/09/2023
Toolformer: Language Models Can Teach Themselves to Use Tools
Language models (LMs) exhibit remarkable abilities to solve new tasks fr...
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10/20/2022
Communication breakdown: On the low mutual intelligibility between human and neural captioning
We compare the 0-shot performance of a neural caption-based image retrie...
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07/03/2021
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN
Despite their practical success, modern seq2seq architectures are unable...
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06/08/2021
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
As deep networks begin to be deployed as autonomous agents, the issue of...
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11/05/2019
Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game
Research in multi-agent cooperation has shown that artificial agents are...
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05/21/2019
CNNs found to jump around more skillfully than RNNs: Compositional generalization in seq2seq convolutional networks
Lake and Baroni (2018) introduced the SCAN dataset probing the ability o...
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10/16/2018