Esben Kran

12 papers A* 2Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
DarkBench: Benchmarking Dark Patterns in Large Language Models.
ICLR
Esben Kran, Jord Nguyen, Akash Kundu, Sami Jawhar, Jinsuk Park, Mateusz Maria Jurewicz
2025 J jnl
DarkBench: Benchmarking Dark Patterns in Large Language Models.
CoRR
Esben Kran, Jord Nguyen, Hieu Minh, Akash Kundu, Sami Jawhar, Jinsuk Park, Mateusz Maria Jurewicz
2025 J jnl
Multi-Agent Risks from Advanced AI.
CoRR
Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan
2025 A* conf
Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems.
AAAI
Pierre Peigné, Mikolaj Kniejski, Filip Sondej, Matthieu David, Jason Hoelscher-Obermaier, Christian Schröder de Witt, Esben Kran
2025 J jnl
Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems.
CoRR
Pierre Peigné, Mikolaj Kniejski, Filip Sondej, Matthieu David, Jason Hoelscher-Obermaier, Christian Schröder de Witt, Esben Kran
2024 J jnl
Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts.
CoRR
Jacob Haimes, Cenny Wenner, Kunvar Thaman, Vassil Tashev, Clement Neo, Esben Kran, Jason Schreiber
2024 J jnl
Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities.
CoRR
Andrey Anurin, Jonathan Ng, Kibo Schaffer, Jason Schreiber, Esben Kran
2023 J jnl
DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models.
CoRR
Albert Garde, Esben Kran, Fazl Barez
2023 — conf
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark.
ACL (Findings)
Jason Hoelscher-Obermaier, Julia Persson, Esben Kran, Ioannis Konstas, Fazl Barez
2023 J jnl
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark.
CoRR
Jason Hoelscher-Obermaier, Julia Persson, Esben Kran, Ioannis Konstas, Fazl Barez
2023 J jnl
N2G: A Scalable Approach for Quantifying Interpretable Neuron Representations in Large Language Models.
CoRR
Alex Foote, Neel Nanda, Esben Kran, Ioannis Konstas, Fazl Barez
2023 J jnl
Neuron to Graph: Interpreting Language Model Neurons at Scale.
CoRR
Alex Foote, Neel Nanda, Esben Kran, Ioannis Konstas, Shay B. Cohen, Fazl Barez