Papers with capability metrics

1 papers
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task (2025.findings-emnlp)

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Challenge: Existing benchmarks focus on isolated abilities, lacking a holistic framework for assessing LLM capabilities.
Approach: They propose a Cognition-Domain-Task framework which measures a model’s capabilities across three dimensions.
Outcome: The proposed framework improves performance on dataset evaluation and data selection, while achieving higher scores on general and specific benchmarks.

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