Yuandong Tian is a cofounder of Recursive Superintelligence Inc who was previously a Research Scientist Director in Meta FAIR.
How media typically covers Yuandong Tian
Based on 4 scored articles
Yuandong Tian as author
“Co-author of the Language Self-Play research paper”
Meta's DeepConf method improves LLM reasoning to 99.9% accuracy on AIME 2025 while reducing generated tokens by 84.7%, requiring only ~50 lines of code with no model retraining.
“Co-author of the DeepConf research paper on parallel thinking methods for LLM reasoning”
Referenced in coverage
“Former Meta researcher who co-founded Recursive Superintelligence to develop self-improving AI systems.”
“Co-author of Neural Computers paper.”
DeepConf, a test-time method leveraging model-internal confidence signals, improves LLM reasoning efficiency and achieves up to 99.9% accuracy on AIME 2025 while reducing generated tokens by 84.7%.
“Co-authored DeepThink with Confidence (DeepConf) paper on reducing LLM reasoning overhead.”