| Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark J Hoelscher-Obermaier*, J Persson*, E Kran, I Konstas, F Barez* Findings of the Association for Computational Linguistics 2023, 11548–11559, 2023 | 44 | 2023 |
| Sleeper agents: Training deceptive llms that persist through safety training E Hubinger, C Denison, J Mu, M Lambert, M Tong, M MacDiarmid, ... arXiv preprint arXiv:2401.05566, 2024 | 40 | 2024 |
| PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration P Li, H Tang, T Yang, X Hao, T Sang, Y Zheng, J Hao, ME Taylor, Z Wang, ... arXiv preprint arXiv:2203.08553, 2022 | 31 | 2022 |
| The Larger they are, the Harder they Fail: Language Models do not Recognize Identifier Swaps in Python AVM Barone*, F Barez*, I Konstas, SB Cohen The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | 25* | 2023 |
| Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) K Duh, H Gomez, S Bethard Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 18 | 2024 |
| Neuron to Graph: Interpreting Language Model Neurons at Scale A Foote*, N Nanda, E Kran, I Konstas, S Cohen, F Barez* arXiv preprint arXiv:2305.19911, 2023 | 17* | 2023 |
| Understanding Addition in Transformers P Quirke, F Barez International Conference on Learning Representations (ICLR), 2023 | 16 | 2023 |
| Risks and Opportunities of Open-Source Generative AI F Eiras, A Petrov, B Vidgen, C Schroeder, F Pizzati, K Elkins, ... arXiv preprint arXiv:2405.08597, 2024 | 8 | 2024 |
| Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models C Denison, M MacDiarmid, F Barez, D Duvenaud, S Kravec, S Marks, ... arXiv preprint arxiv.org/abs/2406.10162, 2024 | 7 | 2024 |
| Near to mid-term risks and opportunities of open source generative ai F Eiras, A Petrov, B Vidgen, CS de Witt, F Pizzati, K Elkins, ... arXiv preprint arXiv:2404.17047, 2024 | 5 | 2024 |
| Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training (arXiv: 2401.05566). arXiv E Hubinger, C Denison, J Mu, M Lambert, M Tong, M MacDiarmid, ... Link to article, 2024 | 5 | 2024 |
| Benchmarking specialized databases for high-frequency data F Barez, P Bilokon, R Xiong arXiv preprint arXiv:2301.12561, 2023 | 5 | 2023 |
| Sycophancy to subterfuge: Investigating reward-tampering in large language models, 2024 C Denison, M MacDiarmid, F Barez, D Duvenaud, S Kravec, S Marks, ... URL https://arxiv. org/abs/2406.10162, 0 | 5 | |
| Identifying a preliminary circuit for predicting gendered pronouns in gpt-2 small C Mathwin, G Corlouer, E Kran, F Barez, N Nanda URL: https://itch. io/jam/mechint/rate/1889871, 2023 | 4 | 2023 |
| System III: Learning with Domain Knowledge for Safety Constraints F Barez, H Hasanbieg, A Abbate NeurIPS ML Safety Workshop, 2022 | 4 | 2022 |
| Discovering topics and trends in the UK Government web archive D Beavan, F Barez, M Bel, J Fitzgerald, E Goudarouli, K Kollnig, ... Data Study Group Final Report. Alan Turing Institute, London, 2021 | 4* | 2021 |
| Large language models relearn removed concepts M Lo, SB Cohen, F Barez arXiv preprint arXiv:2401.01814, 2024 | 3 | 2024 |
| DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models A Garde, E Kran, F Barez arXiv preprint arXiv:2310.01870, 2023 | 3 | 2023 |
| Fairness in AI and Its Long-Term Implications on Society O Bohdal*, T Hospedales, PHS Torr, F Barez* arXiv preprint arXiv:2304.09826, 2023 | 3 | 2023 |
| Exploring the advantages of transformers for high-frequency trading F Barez, P Bilokon, A Gervais, N Lisitsyn arXiv preprint arXiv:2302.13850, 2023 | 3 | 2023 |
Shay CohenUniversity of EdinburghVerified email at inf.ed.ac.uk
