Featured Demos

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  • ModularQA
    Modular QA answers questions by breaking them down into a series of smaller, more specific ones. This produces answers in a human-like way that's more explainable than black-box systems. | Aristo

    ModularQA is a neuro-symbolic question-answering system that answers complex questions by asking a series of sub-questions to existing simpler QA systems or symbolic modules. It explains each of its reasoning steps in language, in terms of a simple question and its answer as produced by a simpler model or a math calculator. In today's world of black-box models this is an important step towards explainable AI.

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  • UnQover demo logo
    Uncovering stereotypical biases via underspecified questions | Aristo

    This work focuses specifically on identifying biases in question answering (QA) models. If these models are blindly deployed in real-life settings, the biases within these models could cause real harm, which raises the question; how extensive are social stereotypes in question-answering models?

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  • UnifiedQA screenshot
    Crossing format boundaries with a single QA system | Aristo

    UnifiedQA is a single pre-trained QA model that performs surprisingly well across 17 QA datasets spanning 4 diverse formats. Fine-tuning UnifiedQA into specialized models results in a new state-of-the-art on 6 datasets, establishing this model as a strong starting point for building QA systems.

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  • RuleTaker demo logo
    Transformers as Soft Reasoners over Language | Aristo

    RuleTaker determines whether statements are True or False based on rules given in natural language.

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  • Aristo demo
    Science question answering with AI | Aristo

    Aristo is a multidisciplinary project that aims to develop systems that have a deeper understanding of the world and are capable of demonstrating that understanding through question answering and explanation.

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