Jason Hoelscher-Obermaier

12 papers A* 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Large Language Models.
CoRR
Philip Quirke, Narmeen Oozeer, Chaithanya Bandi, Amir Abdullah, Jason Hoelscher-Obermaier, Jeff M. Phillips, Joshua Greaves, Clement Neo, Fazl Barez, Shriyash Upadhyay
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 — conf
Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest.
VLDB Workshops
Yusuf Abdulle, Emily Groves, Minhong Wang, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu
2023 J jnl
Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest.
CoRR
Emily Groves, Minhong Wang, Yusuf Abdulle, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu
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 — conf
Self-Consistency of Large Language Models under Ambiguity.
BlackboxNLP@EMNLP
Henning Bartsch, Ole Jorgensen, Domenic Rosati, Jason Hoelscher-Obermaier, Jacob Pfau
2023 J jnl
Self-Consistency of Large Language Models under Ambiguity.
CoRR
Henning Bartsch, Ole Jorgensen, Domenic Rosati, Jason Hoelscher-Obermaier, Jacob Pfau
2022 J jnl
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation.
CoRR
Jason Hoelscher-Obermaier, Edward Stevinson, Valentin Stauber, Ivaylo Zhelev, Viktor Botev, Ronin Wu, Jeremy Minton
2021 J jnl
Domain-adaptation of spherical embeddings.
CoRR
Mihalis Gongolidis, Jeremy Minton, Ronin Wu, Valentin Stauber, Jason Hoelscher-Obermaier, Viktor Botev