| Open problems and fundamental limitations of reinforcement learning from human feedback S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... arXiv preprint arXiv:2307.15217, 2023 | 480 | 2023 |
| Adversarial Policies Beat Superhuman Go AIs TT Wang, A Gleave, N Belrose, T Tseng, J Miller, MD Dennis, Y Duan, ... arXiv preprint arXiv:2211.00241, 2022 | 63* | 2022 |
| Neural-guided, bidirectional program search for abstraction and reasoning S Alford, A Gandhi, A Rangamani, A Banburski, T Wang, S Dandekar, ... Complex Networks & Their Applications X: Volume 1, Proceedings of the Tenth …, 2022 | 24 | 2022 |
| Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation D Halawi, A Wei, E Wallace, TT Wang, N Haghtalab, J Steinhardt arXiv preprint arXiv:2406.20053, 2024 | 23 | 2024 |
| SDP Methods for Sensitivity-Constrained Privacy Funnel and Information Bottleneck Problems Y Bu, T Wang, GW Wornell 2021 IEEE International Symposium on Information Theory (ISIT), 49-54, 2021 | 6 | 2021 |
| Jailbreak Defense in a Narrow Domain: Limitations of Existing Methods and a New Transcript-Classifier Approach TT Wang, J Hughes, H Sleight, R Schaeffer, R Agrawal, F Barez, ... arXiv preprint arXiv:2412.02159, 2024 | 3 | 2024 |
| Forbidden Facts: An Investigation of Competing Objectives in Llama-2 TT Wang, M Wang, K Hariharan, N Shavit arXiv preprint arXiv:2312.08793, 2023 | 3 | 2023 |
| Can Go AIs be adversarially robust? T Tseng, E McLean, K Pelrine, TT Wang, A Gleave arXiv preprint arXiv:2406.12843, 2024 | 1 | 2024 |
| A connectomics-driven analysis reveals novel characterization of border regions in mouse visual cortex N Tumma, L Kong, S Sawmya, TT Wang, N Shavit bioRxiv, 2024.05. 24.595837, 2024 | | 2024 |
| Cliff-Learning TT Wang, I Zablotchi, N Shavit, JS Rosenfeld arXiv preprint arXiv:2302.07348, 2023 | | 2023 |
| Adversarial Examples in Simpler Settings TT Wang Massachusetts Institute of Technology, 2021 | | 2021 |
Adam GleaveCEO at FAR AIPreverjeni e-poštni naslov na far.ai