OpenAI o1 System Card

C. Tan, V. Niculae, C. Danescu-Niculescu-Mizil, and L. Lee, “Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions,” in

2016

Earlier work this paper cites.

J. Maynez, S. Narayan, B. Bohnet, and R. McDonald, “On faithfulness and factuality in abstractive summarization,”

Original

2020

Earlier work this paper cites.

M. Brundage, S. Avin, J. Wang, H. Belfield, G. Krueger, G. Hadfield, H. Khlaaf, J. Yang, H. Toner, R. Fong, T. Maharaj, P. W. Koh, S. Hooker, J. Leung, A. Trask, E. Bluemke, J. Lebensold, C. O’Keefe, M. Koren, T. Ryffel, J. Rubinovitz, T. Besiroglu, F. Carugati, J. Clark, P. Eckersley, S. de Haas, M. Johnson, B. Laurie, A. Ingerman, I. Krawczuk, A. Askell, R. Cammarota, A. Lohn, D. Krueger, C. Stix, P. Henderson, L. Graham, C. Prunkl, B. Martin, E. Seger, N. Zilberman, Seán Ó hÉigeartaigh, F. Kroeger, G. Sastry, R. Kagan, A. Weller, B. Tse, E. Barnes, A. Dafoe, P. Scharre, A. Herbert-Voss, M. Rasser, S. Sodhani, C. Flynn, T. K. Gilbert, L. Dyer, S. Khan, Y. Bengio, and M. Anderljung, “Toward trustworthy ai development: Mechanisms for supporting verifiable claims,” 2020

2020

Earlier work this paper cites.

A. Parrish, A. Chen, N. Nangia, V. Padmakumar, J. Phang, J. Thompson, P. M. Htut, and S. R. Bowman, “Bbq: A hand-built bias benchmark for question answering,”

Original

2021

Earlier work this paper cites.

E. M. Bender, T. Gebru, A. McMillan-Major, and S. Shmitchell, “On the dangers of stochastic parrots: Can language models be too big?,” in

2021

Earlier work this paper cites.

D. Hendrycks, C. Burns, S. Basart, A. Zou, M. Mazeika, D. Song, and J. Steinhardt, “Measuring massive multitask language understanding,” 2021

2021

Earlier work this paper cites.

D. Ganguli, L. Lovitt, J. Kernion, A. Askell, Y. Bai, S. Kadavath, B. Mann, E. Perez, N. Schiefer, K. Ndousse,

Original

2022

Earlier work this paper cites.

T. Shevlane, S. Farquhar, B. Garfinkel, M. Phuong, J. Whittlestone, J. Leung, D. Kokotajlo, N. Marchal, M. Anderljung, N. Kolt, L. Ho, D. Siddarth, S. Avin, W. Hawkins, B. Kim, I. Gabriel, V. Bolina, J. Clark, Y. Bengio, P. Christiano, and A. Dafoe, “Model evaluation for extreme risks,” 2023

2023

Earlier work this paper cites.

T. Markov, C. Zhang, S. Agarwal, F. E. Nekoul, T. Lee, S. Adler, A. Jiang, and L. Weng, “A holistic approach to undesired content detection in the real world,” in

2023

Earlier work this paper cites.

P. Röttger, H. R. Kirk, B. Vidgen, G. Attanasio, F. Bianchi, and D. Hovy, “Xstest: A test suite for identifying exaggerated safety behaviours in large language models,”

Original

2023

Earlier work this paper cites.

X. Shen, Z. Chen, M. Backes, Y. Shen, and Y. Zhang, “do anything now: Characterizing and evaluating in-the-wild jailbreak prompts on large language models,”

Original

2023

Earlier work this paper cites.

A. Tamkin, A. Askell, L. Lovitt, E. Durmus, N. Joseph, S. Kravec, K. Nguyen, J. Kaplan, and D. Ganguli, “Evaluating and mitigating discrimination in language model decisions,”

Original

2023

Earlier work this paper cites.

T. Lanham, A. Chen, A. Radhakrishnan, B. Steiner, C. Denison, D. Hernandez, D. Li, E. Durmus, E. Hubinger, J. Kernion,

Original

2023

Earlier work this paper cites.

N. C. for Cybersecurity, “Csaw cybersecurity games & conference,” 2013–2023

2023

Cited alongside, same era.

T. Patwardhan, K. Liu, T. Markov, N. Chowdhury, D. Leet, N. Cone, C. Maltbie, J. Huizinga, C. Wainwright, S. Jackson, S. Adler, R. Casagrande, and A. Madry, “Building an early warning system for llm-aided biological threat creation,”

2023

Cited alongside, same era.

OpenAI Evals

A. Alexandru, D. Sherburn, O. Jaffe, S. Adler, J. Aung, R. Campbell, and J. Leung, “Makemepay.” · 2023

Cited alongside, same era.

OpenAI Evals

D. Sherburn, S. Adler, J. Aung, R. Campbell, M. Phuong, V. Krakovna, R. Kumar, S. Farquhar, and J. Leung, “Makemesay.” · 2023

Cited alongside, same era.

Accessed: 2024-12-21

M. Y. Guan, M. Joglekar, E. Wallace, S. Jain, B. Barak, A. Heylar, R. Dias, A. Vallone, H. Ren, J. Wei, H. W. Chung, S. Toyer, J. Heidecke, A. Beutel, and A. Glaese, “Deliberative alignment: Reasoning enables safer language models,” December 2024 · 2024

Cited alongside, same era.

M. Turpin, J. Michael, E. Perez, and S. Bowman, “Language models don’t always say what they think: unfaithful explanations in chain-of-thought prompting,”

2024

Closest in time.

S. H. Tanneru, D. Ley, C. Agarwal, and H. Lakkaraju, “On the hardness of faithful chain-of-thought reasoning in large language models,”

Original

2024

Closest in time.

C. Agarwal, S. H. Tanneru, and H. Lakkaraju, “Faithfulness vs. plausibility: On the (un) reliability of explanations from large language models,”

Original

2024

Closest in time.

O. Järviniemi and E. Hubinger, “Uncovering deceptive tendencies in language models: A simulated company ai assistant,”

Original

2024

Closest in time.

T. Hagendorff, “Deception abilities emerged in large language models,”

2024