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My focus at FAIR is on methods to train machines to interact with humans (and with each other) through natural language. To address this challenge in a general way, we need to tackle issues such as the following: where to find (or how to generate) data to train conversational machines in the right interactive setup; how to make them adapt fast to the constantly changing state of conversations; how to make them aware of the real-world context in which a conversation is taking place; how to make them understand what is part of the common-ground knowledge shared by the participants in the conversation; and so on. I am interested in all of these aspects and more.
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论文共 279 篇作者统计合作学者相似作者
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CVPR 2023 (2023): 6935-6944
Natureno. 7985 (2023): 115-121
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CoRR (2023): 14377-14392
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CoRR (2023): 12397-12420
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BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP)pp.468-478, (2021)
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