Papers by Zhisheng Huang

    1 papers
    CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs (2026.acl-long)

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    Challenge: Entity matching (EM) requires fine-grained contextual understanding and domain knowledge.
    Approach: They propose a reinforcement learning controller that manages LLM operations by combining multiple operators and a set of model capacities.
    Outcome: The proposed controller can be reused with different LLM backends at inference time without retraining.

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