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Wanjun Zhong

Wanjun Zhong is a researcher in large language models whose public bibliography includes work on AGIEval, MemoryBank, tool-use benchmarking, knowledge editing, and code-generation reliability. Zhong is also listed as a coauthor on the Seed1.5-VL and Seed1.5-Thinking technical reports.

LLM researcher with publications on evaluation, tool use, knowledge editing, and code generation.1 organizations2 reports

Profile status: updated

updated 1 public sources
Large Language ModelsEvaluationTool UseCode Generation

Current frame

LLM researcher with publications on evaluation, tool use, knowledge editing, and code generation.

Extended note

Public bibliographic sources attribute Wanjun Zhong with research outputs from 2023 to 2025 spanning foundation-model evaluation, long-term memory for LLMs, tool-use benchmarking, knowledge editing, and code-generation reliability. The same name appears on the Seed1.5-VL and Seed1.5-Thinking arXiv technical reports. Given the available evidence, the safest richer profile is publication-focused rather than role- or affiliation-specific.

Public links

dblp DBLP profile

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

dblp: Wanjun Zhong Official source · dblp · dblp