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papersSEP 12 04:00 UTC

Multi-Negative DPO Approach Proposed for Historical Entity Linking with LLMs

A new arXiv paper argues that preference optimization for historical entity linking is typically limited to a single negative candidate per training example, which throws away useful comparative information. The authors propose a multi-negative direct preference optimization method designed for LLM-based linking of entities in historical texts. The work is a replacement submission on arXiv's cs.AI listing.

arXiv Direct Preference Optimization Historical Entity Linking Multi-Negative DPO entity linking large-language-models

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLBeyond Single-Negative Preference: Multi-Negative DPO for LLM-Centric Historical Entity Linking ↗SEP 11 04:00 UTC

arXiv cs.AIBeyond Single-Negative Preference: Multi-Negative DPO for LLM-Centric Historical Entity Linking ↗SEP 12 04:00 UTC