Indeterminacy, identity and counterparts: Evans reconsidered. - Elizabeth Barnes (Synth., 2009)

Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings. - Tom Everitt; Pedro A. Ortega; Elizabeth Barnes; Shane Legg (CoRR, 2019)

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. - Miles Brundage; Shahar Avin; Jasmine Wang; Haydn Belfield; Gretchen Krueger; Gillian K. Hadfield; Heidy Khlaaf; Jingying Yang; Helen Toner; Ruth Fong; Tegan Maharaj; Pang Wei Koh; et al. (CoRR, 2020)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

Evaluating Language-Model Agents on Realistic Autonomous Tasks. - Megan Kinniment; Lucas Jun Koba Sato; Haoxing Du; Brian Goodrich; Max Hasin; Lawrence Chan; Luke Harold Miles; Tao R. Lin; Hjalmar Wijk; Joel Burget; Aaron Ho; Elizabeth Barnes; et al. (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts. - Hjalmar Wijk; Tao Lin; Joel Becker; Sami Jawhar; Neev Parikh; Thomas Broadley; Lawrence Chan; Michael Chen; Josh Clymer; Jai Dhyani; Elena Ericheva; Katharyn Garcia; et al. (CoRR, 2024)

Measuring AI Ability to Complete Long Tasks. - Thomas Kwa; Ben West; Joel Becker; Amy Deng; Katharyn Garcia; Max Hasin; Sami Jawhar; Megan Kinniment; Nate Rush; Sydney von Arx; Ryan Bloom; Thomas Broadley; et al. (CoRR, 2025)

HCAST: Human-Calibrated Autonomy Software Tasks. - David Rein; Joel Becker; Amy Deng; Seraphina Nix; Chris Canal; Daniel O'Connel; Pip Arnott; Ryan Bloom; Thomas Broadley; Katharyn Garcia; Brian Goodrich; Max Hasin; et al. (CoRR, 2025)

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity. - Joel Becker; Nate Rush; Elizabeth Barnes; David Rein (CoRR, 2025)

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety. - Tomek Korbak; Mikita Balesni; Elizabeth Barnes; Yoshua Bengio; Joe Benton; Joseph Bloom; Mark Chen 003; Alan Cooney; Allan Dafoe; Anca D. Dragan; Scott Emmons; Owain Evans; et al. (CoRR, 2025)