David Stap

Orcid: 0009-0005-8683-8561

According to our database1, David Stap authored at least 18 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation.
CoRR, May, 2025

MMTEB: Massive Multilingual Text Embedding Benchmark.
CoRR, February, 2025


Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities.
CoRR, 2024

How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data.
CoRR, 2024

UvA-MT's Participation in the WMT24 General Translation Shared Task.
Proceedings of the Ninth Conference on Machine Translation, 2024


How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
UvA-MT's Participation in the WMT23 General Translation Shared Task.
CoRR, 2023

UvA-MT's Participation in the WMT 2023 General Translation Shared Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multilingual k-Nearest-Neighbor Machine Translation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Towards a general purpose machine translation system for Sranantongo.
CoRR, 2022

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.
CoRR, 2022


2020
Conditional Image Generation and Manipulation for User-Specified Content.
CoRR, 2020


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