Jason Hoelscher-Obermaier

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 7

Top Topics

Language Models For Information Retrieval

Latent Semantic

Language Modelling

Top Venues

BlackboxNLP@EMNLP

Publications

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)
Jason Hoelscher-Obermaier, Julia Persson, Esben Kran, Ioannis Konstas, Fazl Barez
Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark. CoRR (2023)
Henning Bartsch, Ole Jørgensen, Domenic Rosati, Jason Hoelscher-Obermaier, Jacob Pfau
Self-Consistency of Large Language Models under Ambiguity. CoRR (2023)
Henning Bartsch, Ole Jorgensen, Domenic Rosati, Jason Hoelscher-Obermaier, Jacob Pfau
Self-Consistency of Large Language Models under Ambiguity. BlackboxNLP@EMNLP (2023)
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 (2023)
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 (2022)
Mihalis Gongolidis, Jeremy Minton, Ronin Wu, Valentin Stauber, Jason Hoelscher-Obermaier, Viktor Botev
Domain-adaptation of spherical embeddings. CoRR (2021)