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DDxT: Deep Generative Transformer Models for Differential Diagnosis., , , and . CoRR, (2023)Spoken language interaction with robots: Recommendations for future research., , , , , , , , , and 18 other author(s). Comput. Speech Lang., (2022)Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech., , , , and . AAAI, page 10884-10893. AAAI Press, (2022)Planning with Abstract Learned Models While Learning Transferable Subtasks., , , , , , , and . AAAI, page 9992-10000. AAAI Press, (2020)Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New Dataset., , , and . IEEE Big Data, page 3017-3024. IEEE, (2023)A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning., , , , , , , , , and 1 other author(s). NeurIPS Datasets and Benchmarks, (2021)An Introduction to the Syntax and Content of Cyc., , , and . AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, page 44-49. AAAI, (2006)Scarecrows in Oz: Large Language Models in HRI., , , , and . HRI (Companion), page 1338-1340. ACM, (2024)A spotlight on security and privacy risks with future household robots, , , , and . Proceedings of the 11th international conference on Ubiquitous computing, ACM, (September 2009)Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning., , , , , , , , , and . CoRR, (2020)