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ByteDance Seed researcher working on agentic information-seeking benchmarks and multimodal AI.
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Ke Wang is a ByteDance Seed researcher and corresponding author of WideSearch, a benchmark for broad information-seeking agents. He is also listed as an author of the Seed1.5-VL Technical Report.
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ByteDance Seed researcher working on agentic information-seeking benchmarks and multimodal AI.
Public ByteDance Seed project materials list Ke Wang as a corresponding author of WideSearch: Benchmarking Agentic Broad Info-Seeking, with contact email wangke@bytedance.com. He is also listed as an author on the Seed1.5-VL Technical Report, supporting a conservative profile centered on agentic information-seeking benchmarks and vision-language research at ByteDance Seed.