SOURCE-LINKED INTELLIGENCE
Think Before You Link: Rarity, Reasoning, and Retrieval in Multilingual Entity Linking
Multimodal entity linking grounds entity mentions in text and images to knowledge-base entries. These systems degrade on rare entities, but prior work measures rarity primarily through popularity-based metrics such as pageviews. We broaden this view using knowledge-graph structural metrics that capture how well an entity is documented and connected. These metrics identify many rare entities that popularity metrics miss. Across the resulting rare-entity slices, state-of-the-art accuracy drops by 15.4-39.9%, showing that different rarity definitions expose different failure modes. To address the
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T18:41:35.000Z
First collected: 2026-09-20T19:12:12.556Z. This is not the publication date.