Jason Hoelscher-Obermaier

According to our database, Jason Hoelscher-Obermaier authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest.

Yusuf Abdulle, Emily Groves, Minhong Wang, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

2023

Self-Consistency of Large Language Models under Ambiguity.

Henning Bartsch, Ole Jorgensen, Domenic Rosati, Jason Hoelscher-Obermaier, Jacob Pfau

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 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

2022

Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation.

Jason Hoelscher-Obermaier, Edward Stevinson, Valentin Stauber, Ivaylo Zhelev, Viktor Botev, Ronin Wu, Jeremy Minton

CoRR, 2022

2021

Domain-adaptation of spherical embeddings.

Mihalis Gongolidis, Jeremy Minton, Ronin Wu, Valentin Stauber, Jason Hoelscher-Obermaier, Viktor Botev

CoRR, 2021