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Daniel Wurgaft — most-cited papers & profile · Reinforcement Learning
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Daniel Wurgaft
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Most-cited papers
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
2026
In-Context Learning Strategies Emerge Rationally
2025
Inverse Scaling: When Bigger Isn't Better
2023
Top co-authors
Ekdeep Singh Lubana
· 2
Aaron Kirtland
· 1
Aaron Mueller
· 1
Alexander Lyzhov
· 1
Alexis Ross
· 1
Alicia Parrish
· 1
Alisa Liu
· 1
Ameya Prabhu
· 1
Andrew Gritsevskiy
· 1
Andrew Kyle Lampinen
· 1
Christopher Potts
· 1
Core Francisco Park
· 1
Topics
cs.LG
cs.AI
cs.CL
cs.CY