Jun Yan is a senior research scientist at Google DeepMind.
How media typically covers Jun Yan
Based on 3 scored articles
Jun Yan as author
Google researchers introduce Supervised Reinforcement Learning (SRL), a training framework that enables 7B parameter models to achieve better multi-step reasoning by providing step-wise reward signals based on expert action similarity rather than token-by-token imitation.
“Author of "Google Researchers Show SRL Gives 7B Models Better Structured Reasoning by Rewar" on arXiv”
ReasoningBank, a memory framework that enables LLM agents to learn from accumulated interaction history and self-evolve through reasoning strategies, outperforms existing memory mechanisms on web browsing and software engineering tasks.
“Author of "ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory" on arXiv”
Referenced in coverage
“Co-author of SkillOS paper on learning skill curation for self-evolving LLM agents.”