Rulin Shao 邵如琳
// PhD Student · University of Washington
I am a third-year PhD at University of Washington advised by Prof. Pang Wei Koh and Prof. Luke Zettlemoyer.
I am also a visiting researcher at Meta working with Scott Yih and Mike Lewis.
I completed my master's in Machine Learning at CMU advised by Prof. Eric Xing and my undergraduate degree in Mathematics at XJTU.
I'm interested in building an AI system that can automatically collect information from diverse sources, conduct deliberate practice, and decide how to spend time, compute, and storage to handle complex tasks.
// News
2026.02Gave an invited talk at Cornell!
2026.02OpenScholar is accepted by Nature!
2026.01Gave an invited talk at AAAI FrontierIR Workshop on Retrieval for Reasoning!
2026.01Gave two invited talks at Amazon!
2025.10Introducing DR Tulu: RL with Evolving Rubrics for Deep Research. Our 8B model matches OpenAI Deep Research!
2025.10Honored to receive the Amazon AI PhD Fellowship!
2025.10Gave an invited talk at MIT NLP Seminar
2025.05Introducing Spurious Rewards: Rethinking Training Signals in RLVR. We showed Qwen models can work even with random rewards!
2025.04Introducing ReasonIR, a retriever specifically trained for reasoning tasks. Code, data, and model are released!
2024.11Check out our OpenScholar, an AI assistant proficient at answering research questions with accurate paper citations! Try the demo!
2024.07Introducing MassiveDS-1.4T, the first open-source trillion-token datastore and datastore scaling study! [code]
2023.10Introducing DistFlashAtten, a distributed memory-efficient attention with sequence parallelism for long-context LLMs training!