Papers with sample and task construction

1 papers
Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion (2025.naacl-long)

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Challenge: Existing frameworks for evaluating the decomposition and composition capabilities of large language models (LLMs) in N2F are inadequate, and there are errors that can be attributed to deficiencies in natural language understanding and the learning and use of symbolic systems.
Approach: They propose a framework that semi-automatically performs sample and task construction . main findings include that LLMs are deficient in both decomposition and composition .
Outcome: The proposed framework evaluates the most advanced LLMs on a variety of common formal languages.

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