Papers with neglect model

1 papers
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning (2024.naacl-long)

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Challenge: Existing methods for retrieval-based in-context learning ignore model biases and fail to retrieve the most appropriate demonstrations for different LLMs.
Approach: They propose a model-specific demonstration retrieval method that considers the biases of different LLMs at inference time.
Outcome: The proposed method improves performance on seen and unseen tasks with multi-scale inference LLMs by up to 41.2%.

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