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Symmetric Machine Theory of Mind., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 19450-19466. PMLR, (2022)The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning., , , , , , , and . ICLR, OpenReview.net, (2024)Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker., , , , , and . ACL (1), page 13960-13980. Association for Computational Linguistics, (2023)Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement., , , , , , , , , and 1 other author(s). CoRR, (2023)BotPercent: Estimating Twitter Bot Populations from Groups to Crowds., , , , , , and . CoRR, (2023)FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions., , , , , , and . EMNLP, page 14397-14413. Association for Computational Linguistics, (2023)Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement., , , , , , , , , and 1 other author(s). ICLR, OpenReview.net, (2024)Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting., , , and . ICLR, OpenReview.net, (2024)AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text., , , , , , , , , and 1 other author(s). CoRR, (2024)Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting., , , and . CoRR, (2023)