| Inverse Scaling: When Bigger Isn't Better IR McKenzie, A Lyzhov, M Pieler, A Parrish, A Mueller, A Prabhu, ... arXiv preprint arXiv:2306.09479, 2023 | 72 | 2023 |
| Adversarial policies beat superhuman go AIs TT Wang, A Gleave, T Tseng, K Pelrine, N Belrose, J Miller, MD Dennis, ... International Conference on Machine Learning, 35655-35739, 2023 | 57* | 2023 |
| The Graph Based Benchmark Suite (GBBS) L Dhulipala, J Shi, T Tseng, GE Blelloch, J Shun Proceedings of the 3rd Joint International Workshop on Graph Data Management …, 2020 | 45 | 2020 |
| Batch-Parallel Euler Tour Trees T Tseng, L Dhulipala, G Blelloch 2019 Proceedings of the Twenty-First Workshop on Algorithm Engineering and …, 2019 | 40 | 2019 |
| Parallel index-based structural graph clustering and its approximation T Tseng, L Dhulipala, J Shun Proceedings of the 2021 International Conference on Management of Data, 1851 …, 2021 | 26 | 2021 |
| Parallel batch-dynamic minimum spanning forest and the efficiency of dynamic agglomerative graph clustering T Tseng, L Dhulipala, J Shun Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and …, 2022 | 11 | 2022 |
| Exploring scaling trends in LLM robustness NHR Howe, M Zając, IR McKenzie, OJ Hollinsworth, PL Bacon, A Gleave ICML 2024 Next Generation of AI Safety Workshop, 2024 | 3 | 2024 |
| Can Go AIs be adversarially robust? T Tseng, E McLean, K Pelrine, TT Wang, A Gleave arXiv preprint arXiv:2406.12843, 2024 | 1 | 2024 |
| Effects of Scale on Language Model Robustness N Howe, I McKenzie, O Hollinsworth, M Zajac, T Tseng, A Tucker, ... arXiv preprint arXiv:2407.18213, 2024 | | 2024 |
| Sublinear colorings of 3-colorable graphs in linear time T Tseng SIGBOVIK 2018, 4, 2018 | | 2018 |
| 1 Affine embeddings DW Scribe, T Tseng | | |
| Maintaining Forests with Parallel Bulk Updates T Tseng | | |
