Evaluation of Agents under Simulated AI Marketplace Dynamics
Modern information access ecosystems consist of mixtures of systems, such as retrieval systems and large language models, and increasingly rely on marketplaces to mediate access to models, tools, and data, making competition between systems inherent to deployment. In such settings, outcomes are shaped not only by benchmark quality but also by competitive pressure, including user switching, routing decisions, and operational constraints. Yet evaluation is still largely conducted on static benchmarks with accuracy-focused measures that assume systems operate in isolation. This mismatch makes it difficult to predict post-deployment success and obscures competitive effects such as early-adopt...
| Authors | To Eun Kim, Alireza Salemi, Hamed Zamani et al. |
|---|---|
| Primary category | cs.IR |
| Published | 15 April 2026 |
| Last updated at source | 15 April 2026 |
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