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arXiv · 2604.25923

Evaluation Revisited: A Taxonomy of Evaluation Concerns in Natural Language Processing

Ruchira Dhar·Anders Søgaard
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Abstract

Recent advances in large language models (LLMs) have prompted a growing body of work that questions the methodology of prevailing evaluation practices. However, many such critiques have already been extensively debated in natural language processing (NLP): a field with a long history of methodological reflection on evaluation. We conduct a scoping review of research on evaluation concerns in NLP and develop a taxonomy, synthesizing recurring positions and trade-offs within each area. We also discuss practical implications of the taxonomy, including a structured checklist to support more deliberate evaluation design and interpretation. By situating contemporary debates within their historical context, this work provides a consolidated reference for reasoning about evaluation practices.

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Ruchira Dhar, Anders Søgaard. 2026-04-01. Evaluation Revisited: A Taxonomy of Evaluation Concerns in Natural Language Processing. https://arxiv.org/abs/2604.25923

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