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ORCIDJason Hoelscher-Obermaier
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2020 – today
- 2025
[i7]Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomás 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:
Multi-Agent Risks from Advanced AI. CoRR abs/2502.14143 (2025)- [i6]Pierre Peigne-Lefebvre, Mikolaj Kniejski, Filip Sondej, Matthieu David, Jason Hoelscher-Obermaier, Christian Schroeder de Witt, Esben Kran:
Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems. CoRR abs/2502.19145 (2025) - 2024
- [c3]Yusuf Abdulle, Emily Groves, Minhong Wang, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu:
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 2024 - 2023
- [c2]Jason Hoelscher-Obermaier
, Julia Persson, Esben Kran, Ioannis Konstas, Fazl Barez:
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark. ACL (Findings) 2023: 11548-11559 - [c1]Henning Bartsch, Ole Jorgensen, Domenic Rosati, Jason Hoelscher-Obermaier, Jacob Pfau:
Self-Consistency of Large Language Models under Ambiguity. BlackboxNLP@EMNLP 2023: 89-105 - [i5]Jason Hoelscher-Obermaier, Julia Persson, Esben Kran, Ioannis Konstas, Fazl Barez:
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark. CoRR abs/2305.17553 (2023) - [i4]Henning Bartsch, Ole Jorgensen, Domenic Rosati, Jason Hoelscher-Obermaier, Jacob Pfau:
Self-Consistency of Large Language Models under Ambiguity. CoRR abs/2310.13439 (2023) - [i3]Emily Groves, Minhong Wang, Yusuf Abdulle, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu:
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 abs/2312.12989 (2023) - 2022
- [i2]Jason Hoelscher-Obermaier, Edward Stevinson, Valentin Stauber, Ivaylo Zhelev, Viktor Botev, Ronin Wu, Jeremy Minton:
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation. CoRR abs/2210.15358 (2022) - 2021
- [i1]Mihalis Gongolidis, Jeremy Minton, Ronin Wu, Valentin Stauber, Jason Hoelscher-Obermaier, Viktor Botev:
Domain-adaptation of spherical embeddings. CoRR abs/2111.00677 (2021)
Coauthor Index
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