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Alayrac and colleagues: Flamingo few-shot visual language model

Contribution grade

Vision-language models · Human-designed AI research method or resource

Reference score40,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Combined frozen visual and language components with cross-attention layers to process interleaved images, videos and text, reporting few-shot transfer across multimodal tasks.

Scientific scope

Combined frozen visual and language components with cross-attention layers to process interleaved images, videos and text, reporting few-shot transfer across multimodal tasks. Scope limitation: Few-shot results are benchmark- and prompt-dependent; the paper does not show general visual understanding or unrestricted grounding.

Evidence

The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. Few-shot results are benchmark- and prompt-dependent; the paper does not show general visual understanding or unrestricted grounding.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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