Conditional Image Generation and Manipulation for User-Specified Content. - David Stap; Maurits J. R. Bleeker; Sarah Ibrahimi; Maartje ter Hoeve (CoRR, 2020)

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Atharva Naik; Arjun Ashok; Arut Selvan Dhanasekaran; Anjana Arunkumar; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (EMNLP, 2022)

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. - Yizhong Wang; Swaroop Mishra; Pegah Alipoormolabashi; Yeganeh Kordi; Amirreza Mirzaei; Anjana Arunkumar; Arjun Ashok; Arut Selvan Dhanasekaran; Atharva Naik; David Stap; Eshaan Pathak; Giannis Karamanolakis; et al. (CoRR, 2022)

Towards a general purpose machine translation system for Sranantongo. - Just Zwennicker; David Stap (CoRR, 2022)

Multilingual k-Nearest-Neighbor Machine Translation. - David Stap; Christof Monz (EMNLP, 2023)

Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. - David Stap; Vlad Niculae; Christof Monz (EMNLP (Findings), 2023)

UvA-MT's Participation in the WMT 2023 General Translation Shared Task. - Di Wu; Shaomu Tan; David Stap; Ali Araabi; Christof Monz (WMT, 2023)

UvA-MT's Participation in the WMT23 General Translation Shared Task. - Di Wu; Shaomu Tan; David Stap; Ali Araabi; Christof Monz (CoRR, 2023)

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. - David Stap; Eva Hasler; Bill Byrne; Christof Monz; Ke Tran (ACL (1), 2024)

How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data. - Di Wu; Shaomu Tan; Yan Meng; David Stap; Christof Monz (ACL (Findings), 2024)

Data Contamination Report from the 2024 CONDA Shared Task. - Oscar Sainz; Iker García-Ferrero; Alon Jacovi; Jon Ander Campos; Yanai Elazar; Eneko Agirre; Yoav Goldberg; Wei-Lin Chen; Jenny Chim; Leshem Choshen; Luca D'Amico-Wong; Melissa Dell; et al. (CONDA, 2024)

UvA-MT's Participation in the WMT24 General Translation Shared Task. - Shaomu Tan; David Stap; Seth Aycock; Christof Monz; Di Wu (WMT, 2024)

How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data. - Di Wu; Shaomu Tan; Yan Meng; David Stap; Christof Monz (CoRR, 2024)

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. - David Stap; Eva Hasler; Bill Byrne; Christof Monz; Ke M. Tran (CoRR, 2024)

Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? - Seth Aycock; David Stap; Di Wu; Christof Monz; Khalil Sima'an (ICLR, 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (ICLR, 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)

The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation. - David Stap; Christof Monz (CoRR, 2025)