From Test-Taking to Test-Making: Examining LLM Authoring of Commonsense Assessment Items

October 18, 2024 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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Authors Melissa Roemmele, Andrew S. Gordon arXiv ID 2410.14897 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 2 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 5 months ago
Abstract
LLMs can now perform a variety of complex writing tasks. They also excel in answering questions pertaining to natural language inference and commonsense reasoning. Composing these questions is itself a skilled writing task, so in this paper we consider LLMs as authors of commonsense assessment items. We prompt LLMs to generate items in the style of a prominent benchmark for commonsense reasoning, the Choice of Plausible Alternatives (COPA). We examine the outcome according to analyses facilitated by the LLMs and human annotation. We find that LLMs that succeed in answering the original COPA benchmark are also more successful in authoring their own items.
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