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REAP: Relation-Aware Elicitation and Parsing for Closed-Book Knowledge Base Construction from LLMs
We present the REAP system for the AKBC Shared Task 2026 on constructing knowledge bases from language models in a closed-book setting, subject to a budget of at most 32B parameters and no model fine-tuning. Our system combines structured chain-of-thought reasoning, relation-specific query strategie
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