Jannis Vamvas

According to our database, Jannis Vamvas authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

Fine-tuning the SwissBERT Encoder Model for Embedding Sentences and Documents.

Juri Grosjean, Jannis Vamvas

CoRR, 2024

Linear-time Minimum Bayes Risk Decoding with Reference Aggregation.

Jannis Vamvas, Rico Sennrich

CoRR, 2024

Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect.

Jannis Vamvas, Noëmi Aepli, Rico Sennrich

CoRR, 2024

Machine Translation Models are Zero-Shot Detectors of Translation Direction.

Michelle Wastl, Jannis Vamvas, Rico Sennrich

CoRR, 2024

Thesis: Model-based Evaluation of Multilinguality.

Jannis Vamvas

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024

Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding.

Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models.

Alireza Mohammadshahi, Jannis Vamvas, Rico Sennrich

CoRR, 2023

Towards Unsupervised Recognition of Semantic Differences in Related Documents.

Jannis Vamvas, Rico Sennrich

CoRR, 2023

SwissBERT: The Multilingual Language Model for Switzerland.

Jannis Vamvas, Johannes Graën, Rico Sennrich

CoRR, 2023

Trained MT Metrics Learn to Cope with Machine-translated References.

Jannis Vamvas, Tobias Domhan, Sony Trenous, Rico Sennrich, Eva Hasler

Proceedings of the Eighth Conference on Machine Translation, 2023

Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents.

Jannis Vamvas, Rico Sennrich

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

2022

NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures.

Jannis Vamvas, Rico Sennrich

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning.

Jannis Vamvas, Rico Sennrich

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias.

Jannis Vamvas, Rico Sennrich

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

On the Limits of Minimal Pairs in Contrastive Evaluation.

Jannis Vamvas, Rico Sennrich

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop.

Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

X -stance: A Multilingual Multi-Target Dataset for Stance Detection.

Jannis Vamvas, Rico Sennrich

Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020