聚焦美联储-验证大型语言模型注释(英)-2026。Contrasting Ludwig et al. (2025), I focus on problems where the researcher does not have access to an external benchmark, e.g., due to human biases and errors. This setting is relevant in many 4 Veselovsky et al. (2023) estimate that 33-46% of crowd workers use LLMs for completing tasks.
聚焦美联储-验证大型语言模型注释(英)-2026。Contrasting Ludwig et al. (2025), I focus on problems where the researcher does not have access to an external benchmark, e.g., due to human biases and errors. This setting is relevant in many 4 Veselovsky et al. (2023) estimate that 33-46% of crowd workers use LLMs for completing tasks.
聚焦美联储-验证大型语言模型注释(英)-2026。Contrasting Ludwig et al. (2025), I focus on problems where the researcher does not have access to an external benchmark, e.g., due to human biases and errors. This setting is relevant in many 4 Veselovsky et al. (2023) estimate that 33-46% of crowd workers use LLMs for completing tasks.
覆盖 2026 年,全文约 44。
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重点分析了美联储、验证大型语言模型注释等议题。