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CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs
Entity matching (EM) requires fine-grained contextual understanding and domain knowledge. Recent work shows that large language models (LLMs) can serve as strong matchers across domains, but most methods either make independent pairwise decisions or rely on manually designed composite pipelines, thu
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