updated 2 public sources
Information-seeking agentsAI benchmarksVision-language models

Current frame

ByteDance Seed researcher working on agentic information-seeking benchmarks and multimodal AI.

Extended note

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.