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Charlie Snell
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2026-03-04 07:18:14
raw text
Charlie Snell Charlie Snell I'm a third year CS PhD student in Berkeley EECS advised by Dan Klein and Sergey Levine. Previously, I was a UC Berkeley undergrad, where I had the great opportunity to work with and learn from a number of fantastic AI researchers, such as Sergey Levine , Ruiqi Zhong , Dan Klein , Jacob Steinhardt , and Jason Eisner . I was also previously a Student Researcher at Google DeepMind. Email  /  Google Scholar  /  Twitter  /  Github Research See Google Scholar for more. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Charlie Snell , Jaehoon Lee , Kelvin Xu , Aviral Kumar arXiv 2024 [paper] On difficult problems, humans tend to think longer to improve their decisions. Can we instill a similar capability into LLMs? And how well can it perform? We find that by optimally scaling test-time compute we can outperform much larger...
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