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Guang Shi

Guang Shi is publicly listed as a coauthor on ByteDance Seed papers including Seed1.5-VL Technical Report, Seed1.5-Thinking, Emerging Properties in Unified Multimodal Pretraining, and UI-TARS, supporting a conservative profile centered on vision-language models, multimodal pretraining, and GUI agents.

Publicly listed coauthor on ByteDance Seed vision-language, multimodal, and GUI-agent research1 organizations2 reports

Profile status: updated

updated 3 public sources
vision-language modelsmultimodal pretrainingGUI agents

Current frame

Publicly listed coauthor on ByteDance Seed vision-language, multimodal, and GUI-agent research

Organizations

core ByteDance Seed

Reports

Vision-Language Models Seed1.5-VL Technical Report Report Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning

Official and primary sources

Emerging Properties in Unified Multimodal Pretraining - Publications - ByteDance Seed Team Official source · team_page · ByteDance Seed UI-TARS: Pioneering Automated GUI Interaction with Native Agents Official source · team_page · ByteDance Seed

Supporting sources

Seed1.5-VL Technical Report Supporting source · report · arXiv