Tom Tseng - RankMe

18 papers A* 5B 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Concept Influence: Leveraging Interpretability to Improve Performance and Efficiency in Training Data Attribution. CoRR Matthew Kowal, Goncalo Paulo, Louis Jaburi, Tom Tseng, Lev E. McKinney, Stefan Heimersheim, Aaron David Tucker, Adam Gleave, Kellin Pelrine
2026	A*	`conf`	STACK: Adversarial Attacks on LLM Safeguard Pipelines. AAAI Ian R. McKenzie, Oskar John Hollinsworth, Tom Tseng, Xander Davies, Stephen Casper, Aaron David Tucker, Robert Kirk, Adam Gleave
2026	J	`jnl`	TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering. CoRR Saad Hossain, Tom Tseng, Punya Syon Pandey, Samanvay Vajpayee, Matthew Kowal, Nayeema Nonta, Samuel Simko, Stephen Casper, Zhijing Jin, Kellin Pelrine, Sirisha Rambhatla
2025	A*	`conf`	Can Go AIs Be Adversarially Robust? AAAI Tom Tseng, Euan McLean, Kellin Pelrine, Tony Tong Wang, Adam Gleave
2025	A*	`conf`	Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility. EMNLP Brendan Murphy, Dillon Bowen, Shahrad Mohammadzadeh, Tom Tseng, Julius Broomfield, Adam Gleave, Kellin Pelrine
2025	J	`jnl`	STACK: Adversarial Attacks on LLM Safeguard Pipelines. CoRR Ian R. McKenzie, Oskar John Hollinsworth, Tom Tseng, Xander Davies, Stephen Casper, Aaron D. Tucker, Robert Kirk, Adam Gleave
2025	A*	`conf`	Scaling Trends in Language Model Robustness. ICML Nikolaus H. R. Howe, Ian R. McKenzie, Oskar John Hollinsworth, Michal Zajac, Tom Tseng, Aaron David Tucker, Pierre-Luc Bacon, Adam Gleave
2024	J	`jnl`	Can Go AIs be adversarially robust? CoRR Tom Tseng, Euan McLean, Kellin Pelrine, Tony T. Wang, Adam Gleave
2024	J	`jnl`	Exploring Scaling Trends in LLM Robustness. CoRR Nikolaus H. R. Howe, Michal Zajac, Ian R. McKenzie, Oskar John Hollinsworth, Tom Tseng, Pierre-Luc Bacon, Adam Gleave
2023	A*	`conf`	Adversarial Policies Beat Superhuman Go AIs. ICML Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell
2023	J	`jnl`	Inverse Scaling: When Bigger Isn't Better. CoRR Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez
2023	J	`jnl`	Inverse Scaling: When Bigger Isn't Better. Trans. Mach. Learn. Res. Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Aaron Kirtland, Alexis Ross, Alisa Liu, Andrew Gritsevskiy, Daniel Wurgaft, Derik Kauffman, Gabriel Recchia, Jiacheng Liu, Joe Cavanagh, Max Weiss, Sicong Huang, The Floating Droid, Tom Tseng, Tomasz Korbak, Xudong Shen, Yuhui Zhang, Zhengping Zhou, Najoung Kim, Samuel R. Bowman, Ethan Perez
2022	J	`jnl`	Adversarial Policies Beat Professional-Level Go AIs. CoRR Tony Tong Wang, Adam Gleave, Nora Belrose, Tom Tseng, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell
2022	B	`conf`	Parallel Batch-Dynamic Minimum Spanning Forest and the Efficiency of Dynamic Agglomerative Graph Clustering. SPAA Tom Tseng, Laxman Dhulipala, Julian Shun
2022	J	`jnl`	Parallel Batch-Dynamic Minimum Spanning Forest and the Efficiency of Dynamic Agglomerative Graph Clustering. CoRR Tom Tseng, Laxman Dhulipala, Julian Shun
2021	—	`conf`	Parallel Index-Based Structural Graph Clustering and Its Approximation. SIGMOD Conference Tom Tseng, Laxman Dhulipala, Julian Shun
2020	J	`jnl`	Parallel Index-Based Structural Graph Clustering and Its Approximation. CoRR Tom Tseng, Laxman Dhulipala, Julian Shun
2020	—	`conf`	The Graph Based Benchmark Suite (GBBS). GRADES-NDA@SIGMOD Laxman Dhulipala, Jessica Shi, Tom Tseng, Guy E. Blelloch, Julian Shun