🧑‍🔬 Who cites Jannis Vamvas

114 citations of their works from 114 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Jannis Vamvas

1. Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Tang, Wenyang Luo, Haoyang Huang, et al.2024 · 156 citations
2. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
3. Understanding and Mitigating Language Confusion in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, et al.2024 · 57 citations
4. Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive DecodingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi2024 · 47 citations
5. ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation MetricsChantal Amrhein, Nikita Moghe, Liane Guillou2022 · 29 citations
6. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsComputational LinguisticsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
7. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
8. When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.2026 · 14 citations
9. Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in TokenizationAnnual Meeting of the Association for Computational Linguistics (ACL)Negar Foroutan, Clara Meister, Debjit Paul, et al.2026 · 12 citations
10. G2: Guided Generation for Enhanced Output Diversity in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiwen Ruan, Yixia Li, Yefeng Liu, et al.2025 · 6 citations
11. Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine TranslationLanguage Resources and Evaluation Conference (LREC)Marii Ojastu, Hele-Andra Kuulmets, Aleksei Dorkin, et al.2026 · 3 citations
12. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
13. ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMsInternational Conference on Computational Processing of PortugueseInês Vieira, Inês Calvo, Iago Paulo, et al.2026 · 2 citations
14. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
15. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
16. When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language ModelsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)Satyam Kumar Navneet, Joydeep Chandra, Yong Zhang2026 · 1 citation
17. Are the LLMs Capable of Maintaining at Least the Language Genus?Language Resources and Evaluation Conference (LREC)Sandra Mitrović, David Kletz, Ljiljana Dolamic, et al.2026
18. Bi-Text Mining across German Dialects: On the Role of Synthetic Training Data for Dialect AdaptationWorkshop on Building and Using Comparable Corpora (BUCC)Jing Wang, Barbara Plank, Robert Litschko2026
19. Can Large Language Models Replace Statistical Software?Edition of the Swiss Text Analytics ConferenceYves Staudt2026
20. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
21. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusLanguage Resources and Evaluation Conference (LREC)Aidan Mannion, Cécile Macaire, Armand Violle, et al.2026
22. LaCoMSA: Language-Consistency Multilingual Self-Alignment with Latent Representation RewardingConference of the European Chapter of the Association for Computational Linguistics (EACL)Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen2026
23. LuxSQA: Ask Me in Luxembourgish with TTS-Augmented Spoken Question AnsweringarXiv:2607.02763Nina Hosseini-Kivanani, Marco Matassoni, Alessio Brutti2026
24. Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan NeutralizationAnnual Meeting of the Association for Computational Linguistics (ACL)Michele Joshua Maggini, Søren Fomsgaard, Michele Maestroni, et al.2026
25. POS Tagging with Generative LLMs for Historical Germanic Low-Resource Languages: An Evaluation Against Fine-Tuned BERTWorkshop on Language Technologies for Historical and Ancient Languages @ LRECIrene Miani, Gregory Darwin, Sara Stymne2026
26. Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-TrainingarXiv:2608.30609Lukas Borggren, Jenny Kunz, Marco Kuhlmann2026
27. Robust Language Identification for Romansh VarietiesEdition of the Swiss Text Analytics ConferenceCharlotte Model, Sina Ahmadi, Jannis Vamvas2026
28. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026

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