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PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World., , , , , , and . ACL/IJCNLP (1), page 2040-2050. Association for Computational Linguistics, (2021)Do Neural Language Representations Learn Physical Commonsense?, , and . CogSci, page 1753-1759. cognitivesciencesociety.org, (2019)Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?, , , , , and . EMNLP (Findings), page 10994-11005. Association for Computational Linguistics, (2023)Benchmarks as Microscopes: A Call for Model Metrology., , , , and . CoRR, (2024)Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling., , , , and . CoRR, (2024)Experience Grounds Language., , , , , , , , , and 2 other author(s). EMNLP (1), page 8718-8735. Association for Computational Linguistics, (2020)DEMix Layers: Disentangling Domains for Modular Language Modeling., , , , and . NAACL-HLT, page 5557-5576. Association for Computational Linguistics, (2022)TuringAdvice: A Generative and Dynamic Evaluation of Language Use., , , , , and . NAACL-HLT, page 4856-4880. Association for Computational Linguistics, (2021)How FaR Are Large Language Models From Agents with Theory-of-Mind?, , , , , , , , , and 2 other author(s). CoRR, (2023)BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle., , , and . EMNLP/IJCNLP (1), page 3750-3759. Association for Computational Linguistics, (2019)