LMCA_dataset.pdf

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A dataset of rated conceptual arguments Emery Cooper* Caspar Oesterheld* Linh Chi Nguyen Alexander Kastner Ethan Perez 1 Introduction In recent years, the capabilities of large language models (LLMs) have progressed impressively across a wide range of domains. Over the past year or so, so-called reasoning models have made rapid progress on tasks with verifiable feedback, such as coding and math (Jaech et al. 2024; Guo et al. 2025; A. Yang et al. 2025). In light of concerns about the risks of AI development (such as misalignment…

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• Vincent Cheng

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