Important Dates
| Paper submission due | January 6 (Tue), 2026 |
| Notification of acceptance | January 28 (Wed), 2026 |
| Camera-ready due | February 3 (Thu), 2026 |
| Workshop | March 28, 2026- March 29, 2026 (TBD) co-located with EACL 2026 |
| * These dates are approximate dates based on EACL 2026 and are subject to changes. | |
First Call for Papers
Neural language models have revolutionised natural language processing (NLP) and have provided state-of-the-art results for many tasks. However, their effectiveness is largely dependent on the pre-training resources. Therefore, language models (LMs) often struggle with low-resource languages in both training and evaluation. Recently, there has been a growing trend in developing and adopting LMs for low-resource languages. Supporting this important shift, LoResLM aims to provide a forum for researchers to share and discuss their ongoing work on LMs for low-resource languages.
Topics
LoResLM 2026 invites submissions on a broad range of topics related to the development and evaluation of neural language models for low-resource languages. We welcome research that explores modalities beyond text and encourage work on low-resource dialects in addition to major language varieties. Topics of interest include, but are not limited to:
- Building language models for low-resource languages.
- Adapting/extending existing language models/large language models for low-resource languages.
- Corpora creation and curation technologies for training language models/large language models for low-resource languages.
- Benchmarks to evaluate language models/large language models in low-resource languages.
- Prompting/in-context learning strategies for low-resource languages with large language models.
- Review of available corpora to train/fine-tune language models/large language models for low-resource languages.
- Multilingual/cross-lingual language models/large language models for low-resource languages.
- Multimodal language models/large language models for low-resource languages
- Applications of language models/large language models for low-resource languages (i.e. machine translation, chatbots, content moderation, etc.)
Submission Guidelines
We follow the EACL 2026 standards for submission format and guidelines. LoResLM 2026 invites the submission of long papers of up to eight pages and short papers of up to four pages. These page limits only apply to the main body of the paper. At the end of the paper (after the conclusions but before the references) papers need to include a mandatory section discussing the limitations of the work and, optionally, a section discussing ethical considerations. Papers can include unlimited pages of references and an unlimited appendix.
To prepare your submission, please make sure to use the EACL 2026 style files available here:
Papers should be submitted through OpenReview using the following link: https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResLM