activity
20232026
most citedInternational AI Safety Report

15 citations · 39 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2026★ 2 cited

International AI Safety Report 2026

Yoshua Bengio, Stephen Clare, Carina Prunkl +89

The International AI Safety Report 2026 synthesises the current scientific evidence on the capabilities, emerging risks, and safety of general-purpose AI systems. The report series…

cs.AI2025

A Rosetta Stone for AI Benchmarks

Anson Ho, Jean-Stanislas Denain, David Atanasov +2

Most AI benchmarks saturate within years or even months after they are introduced, making it hard to study long-run trends in AI capabilities. To address this challenge, we build a…

econ.GN2025

GATE: An Integrated Assessment Model for AI Automation

Ege Erdil, Andrei Potlogea, Tamay Besiroglu +6

Assessing the economic impacts of artificial intelligence requires integrating insights from both computer science and economics. We present the Growth and AI Transition Endogenous…

cs.CY2025★ 15 cited

International AI Safety Report

Yoshua Bengio, Sören Mindermann, Daniel Privitera +93

The first International AI Safety Report comprehensively synthesizes the current evidence on the capabilities, risks, and safety of advanced AI systems. The report was mandated by…

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.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.ET2023

Limits to the Energy Efficiency of CMOS Microprocessors

Anson Ho, Ege Erdil, Tamay Besiroglu

CMOS microprocessors have achieved massive energy efficiency gains but may reach limits soon. This paper presents an approach to estimating the limits on the maximum floating point…