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Evaluation for Change

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arxiv 2212.11670 v1 pith:LESIB6L7 submitted 2022-12-20 cs.CL cs.AIcs.LG

classification cs.CLcs.AIcs.LG
keywords evaluationchangepowerforcefieldunderachievesacquires
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Evaluation is the central means for assessing, understanding, and communicating about NLP models. In this position paper, we argue evaluation should be more than that: it is a force for driving change, carrying a sociological and political character beyond its technical dimensions. As a force, evaluation's power arises from its adoption: under our view, evaluation succeeds when it achieves the desired change in the field. Further, by framing evaluation as a force, we consider how it competes with other forces. Under our analysis, we conjecture that the current trajectory of NLP suggests evaluation's power is waning, in spite of its potential for realizing more pluralistic ambitions in the field. We conclude by discussing the legitimacy of this power, who acquires this power and how it distributes. Ultimately, we hope the research community will more aggressively harness evaluation for change.

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    cs.AI 2025-02 accept novelty 5.0 of 10

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