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Reliable tool use requires more than triggering a mechanism or matching a query to an API description. Before selecting a specific tool, an agent must first infer the capability requirements implied by the user query. In this paper, we investigate whether these query-side capability requirements are linearly decodable...
It is demonstrated that multi-agent consensus can enforce artificial agreement at the expense of true human alignment at the expense of true human alignment, revealing a structural limitation in consensus-style, role-specialized MAD protocols for subjective scoring.
A probability-based framework for auditing MCQA benchmarks using model output distributions and introduces noise injection to reduce meaningful distractor competition, suggesting that this framework provides a lightweight audit lens for comparing macro-level benchmark structure and prioritizing individual items for tar...
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