Workshop on Language Models for Low-Resource Languages 2026: all accepted papers
- Overview of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026) ↗Hansi Hettiarachchi, Tharindu Ranasinghe, Alistair Plum et al.2 citations
- Evaluating Retrieval-Augmented Generation for Medication Question Answering on Nigerian Drug Labels in Yorùbá ↗Aramide Adebesin, Zainab Tairu1 citation
- Grammatical Error Correction for Low-Resource Languages: The Case of Zarma ↗Mamadou K. Keita, Adwoa Bremang, Huy Le et al.1 citation
- Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering ↗Vlad-Andrei Negoiță, Mihai Masala, Traian Rebedea1 citation
- Large Language Models for Mental Health: A Multilingual Evaluation ↗Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur et al.1 citation
- Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data ↗Zaruhi Navasardyan, Bagratuni Minsayan, Spartak Bughdaryan et al.1 citation
- Under-resourced studies of under-resourced languages: lemmatization and POS-tagging with LLM annotators for historical Armenian, Georgian, Greek and Syriac ↗Chahan Vidal-Gorène, Bastien Kindt, Florian Cafiero1 citation
- A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification Tasks ↗Shakib Yazdani, Cristina España-Bonet, Eleftherios Avramidis et al.
- Anchoring the Judge: Curriculum-Based Adaptation and Reference-Anchored MQM for LLM-Based Machine Translation of an Unseen Low-Resource Language - A Case of NupeUmar Baba Umar, Sulaimon Adebayo Bashir, Abdulmalik Danlami Mohammedour summary
- BanglaIPA: Towards Robust Text-to-IPA Transcription with Contextual Rewriting in Bengali ↗Jakir Hasan, Shrestha Datta, Md Saiful Islam et al.
- BanglaLlama: LLaMA for Bangla Language ↗Abdullah Khan Zehady, Shubhashis Roy Dipta, Naymul Islam et al.
- BanglaSummEval: Reference-Free Factual Consistency Evaluation for Bangla Summarization ↗Ahmed Rafid, Rumman Adib, Fariya Ahmed et al.
- Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation ↗Luis Frentzen Salim, Esteban Carlin, Alexandre Morinvil et al.
- Bootstrapping Embeddings for Low Resource Languages ↗Merve Basoz, Andrew Horne, Mattia Opper
- Contributing to Speech-to-Speech Translation for African Low-Resource Languages : Study of French-Mooré PairFayçal S. A. Ouedraogo, Maimouna Ouattara, Rodrique Kafando et al.our summary
- Cross-Lingual Emotion Recognition in Balinese Text using Multilingual-LLMs under Peer-Collaborations Settings ↗Putu Kussa Laksana Utama, Jilles Steeve Dibangoye, Tsegaye Misikir Tashu
- Cross-Lingual and Cross-Domain Transfer Learning for POS Tagging in Historical Germanic Low-Resource LanguagesIrene Miani, Sara Stymne, Gregory R. Darwinour summary
- Do Tokenizers Fail on Informal Hindi Expressions? Evidence from Static, Downstream, and Robustness Analyses ↗Manikandan Ravikiran, Tanmay Tiwari, Vibhu Gupta et al.
- Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios ↗Namrata Bhalchandra Patil Gurav, Akashdeep Ranu, Archchana Sindhujan et al.
- Enabling Structured Reasoning in Sindhi with Culturally Grounded Instruction Tuning ↗Mehak Mehak, Kamyar Zeinalipour, Pireh Soomro et al.
- Escaping the Probability Trap: Mitigating Semantic Drift in Cantonese-Mandarin Translation ↗Yuzhi Liang, Fangqi Chen
- Evaluating Large Language Models on Lithuanian Grammatical Cases ↗Urtė Jakubauskaitė, Raquel G. Alhama
- Hebrew Diacritics Restoration using Visual RepresentationYair Elboher, Yuval Pinterour summary
- How multilingual are multilingual LLMs? A case study in Northern Sámi-Finnish Translation ↗Jonne Sälevä, Constantine Lignos
- LLM-as-a-Judge for Low-Resource Languages: Adapting Ragas and Comparative Ranking for Romanian ↗Claudiu Creanga, Liviu P. Dinu
- Learning from Scarcity: Building and Benchmarking Speech Technology for Sukuma. ↗Macton Mgonzo, Kezia Oketch, Naome A Etori et al.
- LuxDiagRC: A Diagnostic Reading Comprehension Corpus for Luxembourgish with Linguistic and Cognitive Annotation Layers ↗Christophe Friezas Gonçalves, Salima Lamsiyah, Christoph Schommer
- MTQE.en-he: Machine Translation Quality Estimation for English-HebrewAndy Rosenbaum, Assaf Siani, Ilan Kernermanour summary
- MaiBERT: A Pre-training Corpus and Language Model for Low-Resourced Maithili Language ↗Sumit Yadav, Raju Kumar Yadav, Utsav Maskey et al.
- Making Large Language Models Speak Tulu: Structured Prompting for an Extremely Low-Resource Language ↗Prathamesh Devadiga, Paras Chopra
- Neural Machine Translation for French–Mooré: Adapting Large Language Models to Low-Resource Languages ↗Walker Stanislas Rocksane COMPAORE, Maimouna Ouattara, Rodrique Kafando et al.
- Parameter-Efficient Quality Estimation via Frozen Recursive Models ↗Umar Abubacar, Roman Bauer, Diptesh Kanojia
- QARI: Neural Architecture for Urdu Extractive Machine Reading Comprehension ↗Samreen Kazi, Shakeel Ahmed Khoja
- Qomhrá: A Bilingual Irish and English Large Language Model ↗Joseph McInerney, Khanh-Tung Tran, Liam Lonergan et al.
- Representation-Aware Prompting for Zero-Shot Marathi Text Classification: IPA, Romanization, Repetition ↗Van-Hien Tran, Huy Hien Vu, Hideki Tanaka et al.
- Serbian SuperGLUE: Towards an Evaluation Benchmark for South Slavic Language Models ↗Mitar Perovic, Teodora Mihajlov
- SinhaLegal: A Benchmark Corpus for Information Extraction and Analysis in Sinhala Legislative Texts ↗Minduli Lasandi, Nevidu Jayatilleke
- Targeted Syntactic Evaluation of Language Models on Georgian Case Alignment ↗Daniel Gallagher, Gerhard Heyer
- TeluguEval: A Comprehensive Benchmark for Evaluating LLM Capabilities in Telugu ↗Revanth Kumar Gundam, Radhika Mamidi
- To make someone do something: mining alert-style directives in Bulgarian social media for low-resource language modelling ↗Ruslana Margova, Stanislav Penkov
- Tracking the evolution of LLM capabilities for Belarusian with OpenAI Evals ↗Vladislav Poritski, Oksana Volchek, Maksim Aparovich et al.
- UrHiOdSynth: A Multilingual Synthetic Corpus for Speech-to-Speech Translation in Low-Resource Indic Languages ↗Jamaluddin, Subhankar Panda, Aditya Narendra et al.
- When LLMs Annotate: Reliability Challenges in Low-Resource NLI ↗Solmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana
- When Multilingual Evaluation Assumptions Fail: Tokenization Effects Across Scripts ↗Manodyna K H, Luc De Nardi
- “So, How Much Do LLMs Hallucinate on Low-Resource Languages?” A Quantitative and Qualitative Analysis ↗Kushal Trivedi, Murtuza Shaikh, Sriyansh Sharma
- “We Are (Language) Family”: Adapting Transformer models to related minority languages with linguistic data ↗Miguel López-Otal, Jorge Gracia
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