Jannis Vamvas
19 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
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Conferences
ACL (7)
EMNLP (7)
EACL (3)
NAACL (1)
SEMEVAL (1)
Top co-authors
Keywords
machine translation
(8)
large language model
(5)
low-resource language
(3)
multilingual nlp
(3)
token-level consistency
(2)
hallucination detection
(2)
neural machine translation
(2)
contrastive conditioning
(2)
unsupervised learning
(2)
word alignment
(1)
semantic analysis
(1)
masked language model
(1)
zero-shot learning
(1)
parallel corpus
(1)
text generation
(1)
human judgment
(1)
knowledge distillation
(1)
instruction tuning
(1)
multilingual machine translation
(1)
word sense disambiguation
(1)
Papers
The Mediomatix Corpus: Parallel Data for Romansh Language Varieties via Comparable Schoolbooks
EACL 2026
SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents
ACL 2026
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
ACL 2026
UZH at SemEval-2025 Task 3: Token-Level Self-Consistency for Hallucination Detection
ACL 2025
UZH at SemEval-2025 Task 3: Token-Level Self-Consistency for Hallucination Detection
SEMEVAL 2025
Leveraging In-Context Learning for Political Bias Testing of LLMs
ACL 2025
Machine Translation Models are Zero-Shot Detectors of Translation Direction
ACL 2025
Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents
EMNLP 2025
Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader
EMNLP 2025
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation
ACL 2024
Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models
NAACL 2024
Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect
EACL 2024
Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding
EACL 2024
Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents
EMNLP 2023
Trained MT Metrics Learn to Cope with Machine-translated References
EMNLP 2023
NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures
EMNLP 2022
As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning
ACL 2022
On the Limits of Minimal Pairs in Contrastive Evaluation
EMNLP 2021
Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias
EMNLP 2021