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ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs
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ODA is a novel AI agent framework designed for KG-centric tasks that deeply integrates LLM and KG reasoning. It operates through a cyclical Observation-Action-Reflection paradigm, where the LLM acts as an agent interacting with the KG. The core contribution is an observation module that autonomously processes KG knowledge (using a recursive D-turn observe strategy) to generate reasoning patterns, which then guides the LLM's action and reflection steps, enabling synergistic reasoning for complex KG-related questions.
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