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ByteDance Seed: Seed1.5-VL multimodal reasoning and agent model

Contribution grade

Agentic and multimodal foundation-model training · Human-designed research method or resource

Reference score65,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Integrated a vision encoder and expert language model through staged multimodal training and post-training for understanding, reasoning and graphical-interface tasks.

Scientific scope

Integrated a vision encoder and expert language model through staged multimodal training and post-training for understanding, reasoning and graphical-interface tasks. One vision-language training-system report. Reported benchmark wins are author evaluations; no general GUI reliability or invention of expert models is inferred.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. One vision-language training-system report. Reported benchmark wins are author evaluations; no general GUI reliability or invention of expert models is inferred.

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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