Papers by Josh Tenenbaum

    1 papers
    Revisiting the Roles of “Text” in Text Games (2022.findings-emnlp)

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    Challenge: Recent work has shown that random text hashes could be complementary rather than contrasting in text games.
    Approach: They propose a scheme to extract contextual information into an approximate state hash as extra input for an RNN-based text agent.
    Outcome: The proposed scheme achieves competitive performance with state-of-the-art text agents using advanced NLU techniques such as knowledge graph and passage retrieval.

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