MMCOMET: A Large-Scale Multimodal Commonsense Knowledge Graph for Contextual Reasoning
We present MMCOMET, the first multimodal commonsense knowledge graph (MMKG) that integrates physical, social, and eventive knowledge. MMCOMET extends the ATOMIC2020 knowledge graph to include a visual dimension, through an efficient image retrieval process, resulting in over 900K multimodal triples. This new resource addresses a major limitation of existing MMKGs in supporting complex reasoning tasks like image captioning and storytelling. Through a standard visual storytelling experiment, we show that our holistic approach enables the generation of richer, coherent, and contextually grounded stories than those produced using text-only knowledge. This resource establishes a new foundation...
| Authors | Eileen Wang, Hiba Arnaout, Dhita Pratama et al. |
|---|---|
| Primary category | cs.AI |
| Published | 1 March 2026 |
| Last updated at source | 1 March 2026 |
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