In this paper, we present a domain of compositional reasoning tasks and an artificial language learning paradigm designed to probe the role language plays in ...

It is found that adults provided with abstract language prompts are better equipped to generalize and compose concepts learned across a domain than adults ...

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Jul 28, 2019 · We introduce a new dataset for joint reason- ing about natural language and images, with a focus on semantic diversity, compositionality,.

Our proposed CoVLM improves compositional reasoning ability of VLM through dynamically communicating between vision and language.

We show that our method which uses negative sam- ple generation improves VLM performance on a wide range of benchmarks meant to assess compo- sitional visual- ...

Prepare the inputs for the modular transformer: · Start the bootstrap training of the modular transoformer or you can download the pre-trained models directly ...

We introduce a new compositional visual question-answering dataset, VisReas, that consists of answerable and unanswerable visual queries.

Visual reasoning requires multimodal perception and commonsense cognition of the world. Recently, multiple vision-language models (VLMs) have been proposed.

This grammar defines a domain specific language for expressing compositional visual concepts, and the probabilistic nature of the grammar allows for ...