Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025)
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Abstract (arXiv)
The first Workshop on Language Models for Low-Resource Languages (LoResLM 2025) was held in conjunction with the 31st International Conference on Computational Linguistics (COLING 2025) in Abu Dhabi, United Arab Emirates. This workshop mainly aimed to provide a forum for researchers to share and discuss their ongoing work on language models (LMs) focusing on low-resource languages, following the recent advancements in neural language models and their linguistic biases towards high-resource languages. LoResLM 2025 attracted notable interest from the natural language processing (NLP) community, resulting in 35 accepted papers from 52 submissions. These contributions cover a broad range of low-resource languages from eight language families and 13 diverse research areas, paving the way for future possibilities and promoting linguistic inclusivity in NLP.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 28 of its 64 references that are in the map. First posted on arXiv 20 Dec 2024.
Builds on
28 of 64 references.
References · 28
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- 2021Systematic Inequalities in Language Technology Performance across the World's Languagescited by 118
16 more
- 2021Neural Machine Translation for Low-Resource Languages: A Surveycited by 108
- 2020Low-resource Languages: A Review of Past Work and Future Challengescited by 90
- 2022Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifoldcited by 29
- 2022Multi Task Learning For Zero Shot Performance Prediction of Multilingual Modelscited by 20
- 2022BERTifying Sinhala -- A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classificationcited by 15
- 2024Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialectcited by 13
- 2024Controlled Evaluation of Syntactic Knowledge in Multilingual Language Modelscited by 10
- 2024BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysiscited by 9
- 2024When Every Token Counts: Optimal Segmentation for Low-Resource Language Modelscited by 8
- 2024NSINA: A News Corpus for Sinhalacited by 6
- 2024Recent Advancements and Challenges of Turkic Central Asian Language Processingcited by 6
- 2024Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asiacited by 6
- 2024Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Modelscited by 6
- 2024Automated Collection of Evaluation Dataset for Semantic Search in Low-Resource Domain Languagecited by 4
- 2024Empowering Persian LLMs for Instruction Following: A Novel Dataset and Training Approachcited by 2
- 2024Comparative Analysis of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charterscited by 1
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.