---
title: "VarDial 2026 — all accepted papers — the most cited first"
description: "All 32 papers of VarDial 2026, the most cited first; those with our summary link to it. Among them: Dialect Matters: Cross-Lingual ASR…"
canonical: "https://research.elamur.ai/free/en/venues/vardial/2026/papers/"
---
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# VarDial 2026: all accepted papers

32 papers · the most cited first · [← VarDial 2026](https://md.research.elamur.ai/free/en/venues/vardial/2026/)

1. **[Dialect Matters: Cross-Lingual ASR Transfer for Low-Resource Indic Language Varieties ↗](https://aclanthology.org/2026.vardial-1.12/)**Akriti Dhasmana, Aarohi Srivastava, David Chiang*2 citations*
2. **[A Closed-Track System for Palestinian Arabic in the AMIYA Shared Task](https://md.research.elamur.ai/free/en/papers/hamad-2026-closed-track-system-palestinian-arabic/)**Khaleel Hamad, Ahmad Al-Najjar*our summary*
3. **[A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments](https://md.research.elamur.ai/free/en/papers/lutgen-2026-subword-embedding-approach-variation-detection/)**Anne-Marie Lutgen, Alistair Plum, Christoph Purschke*our summary*
4. **[AMIYA Shared Task: Arabic Modeling In Your Accent at VarDial 2026](https://md.research.elamur.ai/free/en/papers/robinson-2026-amiya-shared-task-arabic-modeling/)**Nathaniel R. Robinson, Shahd Abdelmoneim, Anjali Kantharuban et al.*our summary*
5. **[Aladdin-FTI @ AMIYA Three Wishes for Arabic NLP: Fidelity, Diglossia, and Multidialectal Generation](https://md.research.elamur.ai/free/en/papers/mutal-2026-aladdin-fti-amiya-three-wishes/)**Jonathan Mutal, Perla Al Almaoui, Simon Hengchen et al.*our summary*
6. **[Ara-HOPE: Human-Centric Post-Editing Evaluation for Dialectal Arabic to Modern Standard Arabic Translation](https://md.research.elamur.ai/free/en/papers/alabdullah-2026-ara-hope-human-centric-post/)**Abdullah Alabdullah, Lifeng Han, Chenghua Lin*our summary*
7. **[Bridging Dialectal Variation: A Phonetic Transcription Tool for Tamil ↗](https://aclanthology.org/2026.vardial-1.19/)**Ahrane Mahaganapathy, Sumirtha Karunakaran, Kavitha Navakulan et al.
8. **[Building ASR Resources for the Hutsul Dialect of Ukrainian ↗](https://aclanthology.org/2026.vardial-1.15/)**Roman Kyslyi, Artem Orlovskyi, Pavlo Khomenko et al.
9. **[Crowdsourcing Piedmontese to Test LLMs on Non-Standard Orthography](https://md.research.elamur.ai/free/en/papers/vico-2026-crowdsourcing-piedmontese-test-llms-non/)**Gianluca Vico, Jindřich Libovický*our summary*
10. **[Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models](https://md.research.elamur.ai/free/en/papers/mekky-2026-curriculum-learning-pseudo-labeling-improve/)**Ali Mekky, Mohamed El Zeftawy, Lara Hassan et al.*our summary*
11. **[Do Large Language Models Adapt to Language Variation across Socioeconomic Status? ↗](https://aclanthology.org/2026.vardial-1.26/)**Elisa Bassignana, Mike Zhang, Dirk Hovy et al.
12. **[Effects of Speaker Bias in Dialect Identification and Automatic Transcription with Self-Supervised Speech Models ↗](https://aclanthology.org/2026.vardial-1.3/)**Olli Kuparinen
13. **[Evaluation Framework for Transfer Learning between Closely Related Lects: A Case Study of Lemko ↗](https://aclanthology.org/2026.vardial-1.25/)**Ilia Afanasev
14. **[Extending ASR Evaluation Resources for Modern Greek Dialects](https://md.research.elamur.ai/free/en/papers/tsoukala-2026-extending-asr-evaluation-resources-modern/)**Chara Tsoukala, Stavros Bompolas, Antigoni Margariti et al.*our summary*
15. **[Far Out: Evaluating Language Models on Slang in Australian and Indian English ↗](https://aclanthology.org/2026.vardial-1.2/)**Deniz Kaya Dilsiz, Dipankar Srirag, Aditya Joshi
16. **[From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Models ↗](https://aclanthology.org/2026.vardial-1.16/)**Abdulmuizz Khalak, Abderrahmane Issam, Gerasimos Spanakis
17. **[German-English Code-Switching in Large Language Models ↗](https://aclanthology.org/2026.vardial-1.7/)**Firat Cem Aksüt, Stefan Hillmann, Pia Knoeferle et al.
18. **[How Should We Model the Probability of a Language? ↗](https://aclanthology.org/2026.vardial-1.18/)**Rasul Dent, Pedro Ortiz Suarez, Thibault Clérice et al.
19. **[Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/maheshwari-2026-improving-dialect-robustness-large-language/)**Sanjh Maheshwari, Aniket Singh Rajpoot, Oana Cocarascu et al.*our summary*
20. **[Indic-TunedLens: Interpreting Multilingual Models in Indian Languages](https://md.research.elamur.ai/free/en/papers/panchal-2026-indic-tunedlens-interpreting-multilingual-models/)**Mihir Panchal, Deeksha Varshney, Mamta et al.*our summary*
21. **[Language Mixture to Develop Accurate Galician Dependency Parsers: An Exploration of Its Effects](https://md.research.elamur.ai/free/en/papers/urbieta-2026-language-mixture-develop-accurate-galician/)**Xabier Irastortza-Urbieta, José M. García-Miguel, Marcos Garcia*our summary*
22. **[MBZUAI at AMIYA Shared Task 2026: Adapting Open-Source LLMs for Dialectal Arabic ↗](https://aclanthology.org/2026.vardial-1.31/)**Rana Gaber, Yara Allam, Serag Amin et al.
23. **[Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding](https://md.research.elamur.ai/free/en/papers/alali-2026-maastricht-university-amiya-adapting-llms/)**Abdulhai Alali, Abderrahmane Issam*our summary*
24. **[NUS-IDS at AMIYA/VarDial 2026: Improving Arabic Dialectness in LLMs with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/gollapalli-2026-nus-ids-amiya-vardial-2026/)**Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du et al.*our summary*
25. **[OcWikiDialects: A Wikipedia Dataset With Rich Metadata for Occitan Dialect Identification](https://md.research.elamur.ai/free/en/papers/nedey-2026-ocwikidialects-wikipedia-dataset-rich-metadata/)**Oriane Nédey, Rachel Bawden, Thibault Clérice et al.*our summary*
26. **[On the Intelligibility of Romance Language Varieties: Spanish and Portuguese in Europe and America ↗](https://aclanthology.org/2026.vardial-1.11/)**Liviu P. Dinu, Ana Sabina Uban, Teodor-George Marchitan et al.
27. **[Onomasiological Sense Alignment Across Dialect Dictionaries. A Taxonomy-Constrained LLM Classification](https://md.research.elamur.ai/free/en/papers/mederake-2026-onomasiological-sense-alignment-across-dialect/)**Nathalie Mederake, Nico Urbach, Hanna Fischer et al.*our summary*
28. **[OpenLID-v3: Improving the Precision of Closely Related Language Identification – An Experience Report ↗](https://aclanthology.org/2026.vardial-1.23/)**Mariia Fedorova, Nikolay Arefyev, Maja Buljan et al.
29. **[Perplexity as a Metric for Dialectal Distance: A Computational Study of Greek Varieties ↗](https://aclanthology.org/2026.vardial-1.8/)**Stergios Chatzikyriakidis, Erofili Psaltaki, Dimitrios Papadakis et al.
30. **[Regional Variation in the Performance of ASR Models on Croatian and Serbian](https://md.research.elamur.ai/free/en/papers/samardzic-2026-regional-variation-performance-asr-models/)**Tanja Samardžić, Peter Rupnik, Nikola Ljubešić*our summary*
31. **[SDNLP at AMIYA 2026: Syrian Arabic Dialect Modeling with LoRA](https://md.research.elamur.ai/free/en/papers/alkhder-2026-sdnlp-amiya-2026-syrian-arabic/)**Hasan Alkhder, Mohammad Abboush*our summary*
32. **[Syllable Structures Across Arabic Varieties](https://md.research.elamur.ai/free/en/papers/qaddoumi-2026-syllable-structures-across-arabic-varieties/)**Abdelrahim Qaddoumi, Jordan Kodner, Salam Khalifa et al.*our summary*
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