【第219期】AgenticLU：通过Chain-of-Clarifications提升模型长文本回答能力
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今天的主题是：
Self-Taught Agentic Long Context Understanding
Summary
The provided research paper introduces AgenticLU, a framework designed to improve how large language models understand and answer complex questions within long texts. This is achieved through a process called Chain-of-Clarifications (CoC), where the model asks itself clarifying questions and retrieves relevant context to enhance its comprehension. The framework trains the model using these self-generated reasoning paths to perform this…
The skinny
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