activity
20202025
most citedCompute Trends Across Three Eras of Machine Learning

312 citations · 694 across the 17 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.AI2024★ 9 cited

FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

Elliot Glazer, Ege Erdil, Tamay Besiroglu +21

We introduce FrontierMath, a benchmark of hundreds of original, exceptionally challenging mathematics problems crafted and vetted by expert mathematicians. The questions cover most…

econ.GN2024

Estimating Idea Production: A Methodological Survey

Ege Erdil, Tamay Besiroglu, Anson Ho

Accurately modeling the production of new ideas is crucial for innovation theory and endogenous growth models. This paper provides a comprehensive methodological survey of strategi…

cs.AI2024

Chinchilla Scaling: A replication attempt

Tamay Besiroglu, Ege Erdil, Matthew Barnett +1

Hoffmann et al. (2022) propose three methods for estimating a compute-optimal scaling law. We attempt to replicate their third estimation procedure, which involves fitting a parame…

q-bio.PE2024

Assessing Human Judgment Forecasts in the Rapid Spread of the Mpox Outbreak: Insights and Challenges for Pandemic Preparedness

Thomas McAndrew, Maimuna S. Majumder, Andrew A. Lover +10

In May 2022, mpox (formerly monkeypox) spread to non-endemic countries rapidly. Human judgment is a forecasting approach that has been sparsely evaluated during the beginning of an…

cs.CL2024★ 13 cited

Algorithmic progress in language models

Anson Ho, Tamay Besiroglu, Ege Erdil +6

We investigate the rate at which algorithms for pre-training language models have improved since the advent of deep learning. Using a dataset of over 200 language model evaluations…

cs.CY2024★ 5 cited

The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Tamay Besiroglu, Sage Andrus Bergerson, Amelia Michael +3

There are pronounced differences in the extent to which industrial and academic AI labs use computing resources. We provide a data-driven survey of the role of the compute divide i…