Computer vision & multimodal· 2022
Flamingo: a Visual Language Model for Few-Shot Learning
On the reading lists
- #102 in the Top 500 (2026 edition)
- #20 in Computer vision & multimodal (2026 edition)
Why it matters
Demonstrated few-shot multimodal prompting through interleaved images, video, and text.
Condensed from the expert lists' notes.
The record
- First released
- 2022 (from arXiv 2204.14198)
- Citations
- 6,788 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.656 · computed rank 102 · consensus 0.96, must-read 1, citations percentile 0.765 (2020s · vision), awards 0, existing lists 0. Method
Editor's notes
- Readability check: fail: A very long model report; CLIP and LLaVA teach its ideas more directly. (AI draft (Claude), not yet reviewed, 2026-10-29)
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.