Xiang Yue
岳翔 (Pronounced as "Shiang Yoo-eh")
I am an AI researcher at Meta Superintelligence Labs (MSL). Before joining Meta, I spent two wonderful years at Carnegie Mellon University (CMU) as a postdoctoral researcher, working with Prof. Graham Neubig on natural language processing (NLP) and large language models (LLMs).
I received my Ph.D. from The Ohio State University (OSU) where I was advised by Prof. Huan Sun and Prof. Yu Su. I completed my B.S. in Computer Science at Wuhan University.
Recent Papers
- [1] MMMU / MMMU-Pro / MMLU-Pro: benchmarks for multimodal and language model reasoning
- [2] On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
- [3] Demystifying Long Chain-of-Thought Reasoning in LLMs
- [4] Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
- [5] MAmmoTH2: Scaling Instructions from the Web
- [6] Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
Recent Talks and Media
- [NeurIPS 2025 Tutorial] The Science of Benchmarking [Slides]
- Rethinking LLM Reasoning [Slides]
- Learning to Reason with LLMs [Slides]
- [ACL 2025 Tutorial] Synthetic Data in the Era of LLMs [Slides]
- [Nature] How should we test AI for human-level intelligence? OpenAI's o3 electrifies quest
