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BASIS: Evaluating Belief-Aware Solutions in Interactive Settings beyond Instructions
Large language model (LLM) agents are increasingly capable of carrying out complex, long-horizon tasks, yet effective assistance requires more than faithfully executing user instructions. Users' requests reflect their current understanding of the problem, which may be incomplete, outdated, or incorr
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