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SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Multimodal Models report from ByteDance Seed with 9 connected researchers in the LLMpeople atlas.
Connected researchers
Researcher
1 reports
Yuying Ge
ByteDance Seed
Yuying Ge is a report-backed author in the LLMpeople atlas, connected through SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
Researcher
1 reports
Sijie Zhao
ByteDance Seed
Sijie Zhao is a report-backed author in the LLMpeople atlas, connected through SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
Researcher
1 reports
Jinguo Zhu
ByteDance Seed
Jinguo Zhu is a report-backed author in the LLMpeople atlas, connected through SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
Researcher
1 reports
Yixiao Ge
ByteDance Seed
Yixiao Ge is a report-backed author in the LLMpeople atlas, connected through SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
Researcher
1 reports
Kun Yi
ByteDance Seed
Kun Yi is a report-backed author in the LLMpeople atlas, connected through SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
Researcher
1 reports
Lin Song
ByteDance Seed
Lin Song is a report-backed author in the LLMpeople atlas, connected through SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
Researcher
1 reports
Chen Li
ByteDance Seed
Chen Li is a report-backed author in the LLMpeople atlas, connected through SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
Researcher
1 reports
Xiaohan Ding
ByteDance Seed
Xiaohan Ding is a report-backed author in the LLMpeople atlas, connected through SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
Researcher
1 reports
Ying Shan
ByteDance Seed
Ying Shan is a report-backed author in the LLMpeople atlas, connected through SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.