Sotabase

Career

· Research Intern, Google Inc.2019–2019
· Research Intern, Facebook Inc.2016–2016
· PhD in Computer Science, Georgia Institute of Technology2015–
· Intern, Google Inc.2015–2015
· MS in Computer Science, Georgia Institute of Technology2013–2015
· B.E. in Software Engineering, Shanghai Jiao Tong University2009–2013
· Senior Research Scientist, Google DeepMind

Publications (103)

The Supplementary Material
2021
3,952
cited
StarCoder: may the source be with you!
Trans. Mach. Learn. Res. · 2023
1,079
cited
StarCoder 2 and The Stack v2: The Next Generation
arXiv.org · 2024
561
cited
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
International Conference on Learning Representations · 2024
403
cited
Generate rather than Retrieve: Large Language Models are Strong Context Generators
International Conference on Learning Representations · 2022
398
cited
Language to Rewards for Robotic Skill Synthesis
Conference on Robot Learning · 2023
361
cited
OpenSARShip: A Dataset Dedicated to Sentinel-1 Ship Interpretation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2018
341
cited
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Robotics: Science and Systems · 2017
334
cited
A Survey of Knowledge-enhanced Text Generation
ACM Computing Surveys · 2020
321
cited
Gemini Robotics: Bringing AI into the Physical World
arXiv.org · 2025
222
cited
Learning symmetric and low-energy locomotion
ACM Transactions on Graphics · 2018
209
cited
Few-Shot Graph Learning for Molecular Property Prediction
The Web Conference · 2021
206
cited
A Survey of Deep Learning for Mathematical Reasoning
Annual Meeting of the Association for Computational Linguistics · 2022
187
cited
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
International Conference on Machine Learning · 2024
185
cited
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
Conference on Empirical Methods in Natural Language Processing · 2023
173
cited
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions
IEEE/RJS International Conference on Intelligent RObots and Systems · 2022
165
cited
Sim-to-Real Transfer for Biped Locomotion
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
133
cited
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
International Conference on Learning Representations · 2023
114
cited
Robot Learning From Randomized Simulations: A Review
Frontiers in Robotics and AI · 2021
113
cited
Learning Fast Adaptation With Meta Strategy Optimization
IEEE Robotics and Automation Letters · 2019
106
cited
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Wenhao Yu | Researcher Profile | Sotabase | Sotabase