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Beyond Single-Negative Preference: Multi-Negative DPO for LLM-Centric Historical Entity Linking
Large language models (LLMs) have recently shown promise for historical entity linking, but preference optimization for this task is often formulated with only one negative candidate per training instance. This discards information from the remaining candidates retrieved for the same mention. We int
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