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Researcher in Complex Environments and Machine Learning
,
University of California, Berkeley
2023–
Publications
(13)
Harms from Increasingly Agentic Algorithmic Systems
Conference on Fairness, Accountability and Transparency · 2023
198
cited
Evaluating the Text-to-SQL Capabilities of Large Language Models
arXiv.org · 2022
140
cited
Pretraining Representations for Data-Efficient Reinforcement Learning
Neural Information Processing Systems · 2021
140
cited
In Search of Robust Measures of Generalization
Neural Information Processing Systems · 2020
104
cited
Visibility into AI Agents
Conference on Fairness, Accountability and Transparency · 2024
82
cited
Open Problems in Technical AI Governance
arXiv.org · 2024
55
cited
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
International Conference on Learning Representations · 2022
34
cited
Infrastructure for AI Agents
Trans. Mach. Learn. Res. · 2025
23
cited
Reclaiming the Digital Commons: A Public Data Trust for Training Data
AAAI/ACM Conference on AI, Ethics, and Society · 2023
18
cited
IDs for AI Systems
arXiv.org · 2024
13
cited
Myriad: a real-world testbed to bridge trajectory optimization and deep learning
Neural Information Processing Systems · 2022
5
cited
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Nitarshan Rajkumar | Researcher Profile | Sotabase | Sotabase