Esben Kran

According to our database, Esben Kran authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

DarkBench: Benchmarking Dark Patterns in Large Language Models.

Esben Kran, Jord Nguyen, Hieu Minh, Akash Kundu, Sami Jawhar, Jinsuk Park, Mateusz Maria Jurewicz

CoRR, March, 2025

Multi-Agent Risks from Advanced AI.

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

CoRR, February, 2025

DarkBench: Benchmarking Dark Patterns in Large Language Models.

Esben Kran, Jord Nguyen, Akash Kundu, Sami Jawhar, Jinsuk Park, Mateusz Maria Jurewicz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems.

Pierre Peigné, Mikolaj Kniejski, Filip Sondej, Matthieu David, Jason Hoelscher-Obermaier, Christian Schröder de Witt, Esben Kran

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts.

Jacob Haimes, Cenny Wenner, Kunvar Thaman, Vassil Tashev, Clement Neo, Esben Kran, Jason Schreiber

CoRR, 2024

Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities.

Andrey Anurin, Jonathan Ng, Kibo Schaffer, Jason Schreiber, Esben Kran

CoRR, 2024

2023

DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models.

Albert Garde, Esben Kran, Fazl Barez

CoRR, 2023

Neuron to Graph: Interpreting Language Model Neurons at Scale.

Alex Foote, Neel Nanda, Esben Kran, Ioannis Konstas, Shay B. Cohen, Fazl Barez

CoRR, 2023

N2G: A Scalable Approach for Quantifying Interpretable Neuron Representations in Large Language Models.

Alex Foote, Neel Nanda, Esben Kran, Ioannis Konstas, Fazl Barez

CoRR, 2023

Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark.

Jason Hoelscher-Obermaier, Julia Persson, Esben Kran, Ioannis Konstas, Fazl Barez

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023