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Preprint Sep 2026

AdaptArena: Evaluating Test-Time Personalization of Web Agents

Large language model (LLM) agents have demonstrated strong performance on complex web navigation tasks, yet they remain brittle in real-world settings where user intentions are underspecified and preferences are heterogeneous. In practice, users rarely provide explicit profiles, requiring agents to infer latent prefere...

Dong-Chan Shin, Xing Han Lù, Jiaqi Deng et al. · 0 citations

NC-Bench: An LLM Benchmark for Evaluating Conversational Competence

The Natural Conversation Benchmark (NC-Bench) fills the gap by evaluating conversational competence: the ability to perform structurally appropriate actions such as repairing, closing, or refusing, as defined by conversation science.

Robert J. Moore, Sungeun An, Farhan Ahmed et al. · 1 citation

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