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[i6]Jack Foxabbott, Arush Tagade, Andrew Cusick, Robbie McCorkell, Leo McKee-Reid, Jugal Patel, Jamie Rumbelow, Jessica Rumbelow
, Zohreh Shams:
Benchmarking the Discovery Engine. CoRR abs/2507.00964 (2025)- [i5]Hikaru Tsujimura, Arush Tagade:
LLM Assertiveness can be Mechanistically Decomposed into Emotional and Logical Components. CoRR abs/2508.17182 (2025) - 2024
- [i4]Stephen Casper, Jieun Yun, Joonhyuk Baek, Yeseong Jung, Minhwan Kim, Kiwan Kwon, Saerom Park, Hayden Moore, David Shriver, Marissa Connor, Keltin Grimes, Angus Nicolson, Arush Tagade, Jessica Rumbelow, Hieu Minh Nguyen, Dylan Hadfield-Menell:
The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability. CoRR abs/2404.02949 (2024) - 2023
- [i3]Vinoth Nandakumar, Arush Tagade, Tongliang Liu:
Why do CNNs excel at feature extraction? A mathematical explanation. CoRR abs/2307.00919 (2023) - [i2]Arush Tagade, Jessica Rumbelow:
Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability. CoRR abs/2309.17144 (2023) - [i1]Rusheb Shah, Quentin Feuillade-Montixi, Soroush Pour, Arush Tagade, Stephen Casper, Javier Rando:
Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation. CoRR abs/2311.03348 (2023)
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