Papers by Yingyao Ma
ThinkLinker: From Low-Rank Interaction to Knowledge-Aware Verification for Multimodal Entity Linking (2026.findings-acl)
Copied to clipboard
| Challenge: | Existing methods for multimodal entity linking rely on textual context for disambiguation . textual contextual information alone fails to resolve ambiguity, leading to unreliable disambiguations in weak contexts. |
| Approach: | They propose a two-stage multimodal entity linking framework called ThinkLinker . they propose fusion mechanism to model joint dependencies among features . |
| Outcome: | The proposed framework outperforms state-of-the-art models on public benchmark datasets. |