activity
20232026
most citedGPQA: A Graduate-Level Google-Proof Q&A Benchmark

27 citations · 60 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

MirrorCode: AI can rebuild entire programs from behavior alone

Tom Adamczewski, David Owen, David Rein +4

AI models are rapidly improving at autonomous coding, as shown by benchmark progress and one-off demonstrations such as AI implementing a C compiler. However, existing coding bench…

cs.CL2025

Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation

Song Wang, Zihan Chen, Peng Wang +5

Retrieval-augmented generation (RAG) enhances large language models (LLMs) by integrating external knowledge sources to address their limitations in accessing up-to-date or special…

cs.AI2025★ 11 cited

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

Joel Becker, Nate Rush, Elizabeth Barnes +1

Despite widespread adoption, the impact of AI tools on software development in the wild remains understudied. We conduct a randomized controlled trial (RCT) to understand how AI to…

cs.AI2025

HCAST: Human-Calibrated Autonomy Software Tasks

David Rein, Joel Becker, Amy Deng +19

To understand and predict the societal impacts of highly autonomous AI systems, we need benchmarks with grounding, i.e., metrics that directly connect AI performance to real-world…

cs.AI2025★ 14 cited

Measuring AI Ability to Complete Long Software Tasks

Thomas Kwa, Ben West, Joel Becker +23

Despite rapid progress on AI benchmarks, the real-world meaning of benchmark performance remains unclear. To quantify the capabilities of AI systems in terms of human capabilities,…

cs.CL2024

Training Language Models to Win Debates with Self-Play Improves Judge Accuracy

Samuel Arnesen, David Rein, Julian Michael

We test the robustness of debate as a method of scalable oversight by training models to debate with data generated via self-play. In a long-context reading comprehension task, we…

cs.AI2023★ 27 cited

GPQA: A Graduate-Level Google-Proof Q&A Benchmark

David Rein, Betty Li Hou, Asa Cooper Stickland +5

We present GPQA, a challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. We ensure that the questions are high-quality…

cs.AI2023★ 8 cited

Debate Helps Supervise Unreliable Experts

Julian Michael, Salsabila Mahdi, David Rein +4

As AI systems are used to answer more difficult questions and potentially help create new knowledge, judging the truthfulness of their outputs becomes more difficult and more impor…