Patrick Haller

According to our database, Patrick Haller authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language Models.

Patrick Haller, Jonas Golde, Alan Akbik

CoRR, 2024

Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data.

Jonas Golde, Patrick Haller, Max Ploner, Fabio Barth, Nicolaas Paul Jedema, Alan Akbik

CoRR, 2024

OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs.

Patrick Haller, Ansar Aynetdinov, Alan Akbik

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

PECC: Problem Extraction and Coding Challenges.

Patrick Haller, Jonas Golde, Alan Akbik

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs.

Jonas Golde, Patrick Haller, Felix Hamborg, Julian Risch, Alan Akbik

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing.

Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

CoRR, 2022

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing.

Jason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022