Interactive Evaluation Requires a Design Science
The paper discusses the evolving landscape of AI evaluation, particularly in the context of interactive benchmarks. It argues for a principled approach to interactive evaluation, emphasizing that traditional evaluation paradigms are insufficient. The authors propose a new taxonomy and design principles to address the challenges posed by interactive evaluation.
- ▪AI evaluation is shifting towards interactive benchmarks due to the deployment of large language models.
- ▪The authors argue that interactive evaluation should be considered a distinct evaluation paradigm.
- ▪They propose a two-axis taxonomy and design principles to improve the evaluation process.
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Computer Science > Artificial Intelligence arXiv:2605.17829 (cs) [Submitted on 18 May 2026] Title:Interactive Evaluation Requires a Design Science Authors:Keyang Xuan, Peiyang Song, Pan Lu, Pengrui Han, Wenkai Li, Zhenyu Zhang, Zexue He, Wenyue Hua, Manling Li, Jiaxuan You, Adrian Weller, Yizhong Wang, Jiaxin Pei View a PDF of the paper titled Interactive Evaluation Requires a Design Science, by Keyang Xuan and 12 other authors View PDF HTML (experimental) Abstract:AI evaluation is undergoing a structural change.
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