TyangJN/FIG
ORIG: Multi-Modal Retrieval-Enhanced Image Generation Large Multimodal Models (LMMs) have achieved remarkable progress in generating photorealistic and prompt-aligned images, but they often produce outputs that contradict verifiable knowledge, especially when prompts involve fine-grained attributes or time-sensitive events. Conventional retrieval-augmented approaches attempt to address this issue by introducing external information, yet they are fundamentally incapable of… See the full description on the dataset page: https://huggingface.co/datasets/TyangJN/FIG.
| Author / organization | TyangJN |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 24 October 2025 |
| Last updated at source | 19 November 2025 |
Popularity, last 2 days
1,587 now (-174 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.