---
title: "Workshop on Multilinguality in the Era of Large Language Models"
description: "All 31 papers of Workshop on Multilinguality in the Era of Large Language Models 2026, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/mellm/2026/papers/"
---
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# Workshop on Multilinguality in the Era of Large Language Models 2026: all accepted papers

31 papers · the most cited first · [← Workshop on Multilinguality in the Era of Large Language Models 2026](https://md.research.elamur.ai/free/en/venues/mellm/2026/)

1. **[Benchmarking Byte-Pair Encoding Tokenizers on Different Languages with Bits per Byte ↗](https://aclanthology.org/2026.mellm-1.27/)**Soham Chowdhury, Warren Woolf
2. **[Beyond Accuracy: A Structured Error Analysis of Multilingual LLMs on Marathi Script Variation and Syntax](https://md.research.elamur.ai/free/en/papers/patil-2026-beyond-accuracy-structured-error-analysis/)**Tejas Patil, Barnali Chetia*our summary*
3. **[Causal Localization of the English Pivot in LLaVA: Mechanistic VLM Analysis and Training-Free Multilingual Steering](https://md.research.elamur.ai/free/en/papers/raihan-2026-causal-localization-english-pivot-llava/)**Abrar Zahin Raihan, Aurchi Chowdhury*our summary*
4. **[Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili](https://md.research.elamur.ai/free/en/papers/zhang-2026-cross-lingual-bias-large-language/)**Ruolei Zhang, Teddy Njuguna, Yue Feng*our summary*
5. **[Cross-Lingual Sentiment Misalignment: Auditing Multilingual Language Models for Inversion Risk, Dialectal Representation, and Affective Stability ↗](https://aclanthology.org/2026.mellm-1.12/)**Nusrat Jahan Lia, Shubhashis Roy Dipta
6. **[DIMAS-OMOP: A Deliberative Intelligence-Based Multi-Agent System for Chinese Medical Text Standardization toward OMOP](https://md.research.elamur.ai/free/en/papers/lv-2026-dimas-omop-deliberative-intelligence-based/)**Hanlin Lv, Xiao Wang, Kesong Wu et al.*our summary*
7. **[Do Thoughts Depth Affect Multilingual Reasoning?](https://md.research.elamur.ai/free/en/papers/yang-2026-do-thoughts-depth-affect-multilingual/)**Linjian Yang, Xinyan Wang, Kunpeng Liu*our summary*
8. **[Evaluating Multilingual Tokenization under Worst-N Parity-Aware BPE ↗](https://aclanthology.org/2026.mellm-1.21/)**Vani Kanjirangat, David Kletz, Tanja Samardzic et al.
9. **[Evidence-Augmented Generation Reasoning for Extremely Low-Resource Language Decipherment](https://md.research.elamur.ai/free/en/papers/zhu-2026-evidence-augmented-generation-reasoning-extremely/)**Xiaoyu Zhu, Long Yuan, Rui Qi et al.*our summary*
10. **[GAIA-v2-LILT: Multilingual Adaptation of Agent Benchmark beyond Translation ↗](https://aclanthology.org/2026.mellm-1.13/)**Yunsu Kim, Kaden Uhlig, Joern Wuebker
11. **[Group-Merger: A LoRA-based Framework for Multilingual Continual Learning](https://md.research.elamur.ai/free/en/papers/yi-2026-group-merger-lora-based-framework/)**Weijian yi, Hongliang Li, Jinan Xu*our summary*
12. **[Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging ↗](https://aclanthology.org/2026.mellm-1.3/)**Youngjoon Jang, Junyoung Son, Taemin Lee et al.
13. **[Kyrgyz Text Normalization: A Comparative Study of Neural and Rule-Based Approaches](https://md.research.elamur.ai/free/en/papers/uvalieva-2026-kyrgyz-text-normalization-comparative-study/)**Zarina Uvalieva, Bektemir Kumarbai Uulu, Adilet Metinov et al.*our summary*
14. **[Lost in Dialect: The Annotation Gap in Multilingual LLM Safety ↗](https://aclanthology.org/2026.mellm-1.1/)**Wajdi Zaghouani
15. **[MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model](https://md.research.elamur.ai/free/en/papers/liu-2026-mfmdqwen-multilingual-financial-misinformation-detection/)**Zhiwei Liu, Yuyan Wang, Yuechen Jiang et al.*our summary*
16. **[MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models](https://md.research.elamur.ai/free/en/papers/makwana-2026-mlingualfc-evaluating-jailbreak-vulnerabilities-multilingual/)**Rishabh Makwana, Mamta Mamta, Deeksha Varshney et al.*our summary*
17. **[MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing ↗](https://aclanthology.org/2026.mellm-1.6/)**Riasad Alvi, Nurul Labib Sayeedi, Md. Faiyaz Abdullah Sayeedi
18. **[Multilingual Chain-of-Thought Compression via Cross-Lingual Distillation](https://md.research.elamur.ai/free/en/papers/wan-2026-multilingual-chain-thought-compression-cross/)**Jiarui Wan, Songming Zhang, Yufeng Chen*our summary*
19. **[Multilingual Disparities in LLM-Based Safety Judgments: Evidence from Brand Safety Applications](https://md.research.elamur.ai/free/en/papers/liu-2026-multilingual-disparities-llm-based-safety/)**Songjiang Liu, Riley Grossman, Mike Smith et al.*our summary*
20. **[On the Limits of Model Merging for Multilinguality in Pre-Training ↗](https://aclanthology.org/2026.mellm-1.15/)**Seth Aycock, Fedor Vitiugin, Aleksandr Umnov et al.
21. **[P3B3: A Multi-Turn Conversational Benchmark for Measuring European and Brazilian Portuguese Variety Bias in LLMs ↗](https://aclanthology.org/2026.mellm-1.23/)**Rafael Ferreira, Inês Vieira, Inês Calvo et al.
22. **[Polyglot-Lion: Efficient Multilingual ASR for Singapore via Balanced Fine-Tuning of Qwen3-ASR ↗](https://aclanthology.org/2026.mellm-1.18/)**Quy-Anh Dang, Chris Ngo
23. **[Query-Synergy: Leveraging High-Resource Languages for Improving Retrieval Performance Across Multiple Languages ↗](https://aclanthology.org/2026.mellm-1.4/)**Seongtae Hong, Jungseob Lee, Hyeonseok Moon et al.
24. **[SN-WER: Script-Normalized WER for Multi-Script Indic ASR Evaluation](https://md.research.elamur.ai/free/en/papers/pattnayak-2026-sn-wer-script-normalized-wer/)**Priyaranjan Pattnayak*our summary*
25. **[ShahiEmotion: A Benchmark Dataset for Punjabi Shahmukhi Emotion Detection](https://md.research.elamur.ai/free/en/papers/nawaz-2026-shahiemotion-benchmark-dataset-punjabi-shahmukhi/)**Usman Nawaz, Muhammad Junaid Iqbal, Tahir Alyas et al.*our summary*
26. **[The Broken Telephone Changes Tone: Examining Nuanced Linguistic Cues in LLM Chains-of-Translation](https://md.research.elamur.ai/free/en/papers/nguyen-2026-broken-telephone-changes-tone-examining/)**Quang Minh Nguyen, Maida Aizaz, Braahmi Padmakumar*our summary*
27. **[The Multilingual Curse at the Retrieval Layer: Evidence from Amharic](https://md.research.elamur.ai/free/en/papers/alemneh-2026-multilingual-curse-retrieval-layer-evidence/)**Yosef Worku Alemneh, Kidist Amde Mekonnen, Maarten de Rijke*our summary*
28. **[When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning](https://md.research.elamur.ai/free/en/papers/philippy-2026-when-english-isn-t-best/)**Fred Philippy, Siwen Guo, Jacques Klein et al.*our summary*
29. **[When Retrieval Hurts: Evidence Utilization, Script Fidelity, and Knowledge Conflicts in Multilingual RAG](https://md.research.elamur.ai/free/en/papers/mohan-2026-when-retrieval-hurts-evidence-utilization/)**Varalekshmy M Mohan, Swathi Jayakumar, Gadha Saji Menon et al.*our summary*
30. **[Where Privacy Risk Lives in English-Source Multilingual RAG: A Stage-Decomposed Audit Across Five Query Languages ↗](https://aclanthology.org/2026.mellm-1.28/)**Yanhang Li, Zhichao Fan, Zexin Zhuang
31. **[mmPISA-bench: Do LLMs Reason Equally Well Across 43 Languages?](https://md.research.elamur.ai/free/en/papers/sapenov-2026-mmpisa-bench-do-llms-reason/)**Yerzhan Sapenov, Jaromir Savelka*our summary*
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