Cover Image

Pula: Training Large Language Models for Setswana

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brown, Nathan, Marivate, Vukosi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints
by: Marivate, Vukosi
Published: (2026)

From N-grams to Pre-trained Multilingual Models For Language Identification
by: Sindane, Thapelo, et al.
Published: (2024)

Prompting Towards Alleviating Code-Switched Data Scarcity in Under-Resourced Languages with GPT as a Pivot
by: Terblanche, Michelle, et al.
Published: (2024)

Analysing Public Transport User Sentiment on Low Resource Multilingual Data
by: Myoya, Rozina L., et al.
Published: (2024)

Cross-lingual transfer of multilingual models on low resource African Languages
by: Thangaraj, Harish, et al.
Published: (2024)

MAGE: Multi-Head Attention Guided Embeddings for Low Resource Sentiment Classification
by: Vashisht, Varun, et al.
Published: (2025)

AfroXLMR-Comet: Multilingual Knowledge Distillation with Attention Matching for Low-Resource languages
by: Raju, Joshua Sakthivel, et al.
Published: (2025)

Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswana
by: Mabokela, Koena Ronny, et al.
Published: (2025)

Correcting FLORES Evaluation Dataset for Four African Languages
by: Abdulmumin, Idris, et al.
Published: (2024)

HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing
by: Muhammad, Shamsuddeen Hassan, et al.
Published: (2025)

Mafoko: Structuring and Building Open Multilingual Terminologies for South African NLP
by: Marivate, Vukosi, et al.
Published: (2025)

InkubaLM: A small language model for low-resource African languages
by: Tonja, Atnafu Lambebo, et al.
Published: (2024)

The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages
by: Rajab, Jenalea, et al.
Published: (2025)

Hybrid Alignment Training for Large Language Models
by: Wang, Chenglong, et al.
Published: (2024)

Sparsity-Accelerated Training for Large Language Models
by: Ma, Da, et al.
Published: (2024)

End-to-end Planner Training for Language Modeling
by: Cornille, Nathan, et al.
Published: (2024)

AfriScience-MT: Towards Decolonizing Science in Africa through Text Translation
by: Abdulmumin, Idris, et al.
Published: (2026)

HausaNLP at SemEval-2025 Task 2: Entity-Aware Fine-tuning vs. Prompt Engineering in Entity-Aware Machine Translation
by: Abubakar, Abdulhamid, et al.
Published: (2025)

Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
by: Solgi, Ryan, et al.
Published: (2025)

Exploring Forgetting in Large Language Model Pre-Training
by: Liao, Chonghua, et al.
Published: (2024)

Training-Free Multimodal Large Language Model Orchestration
by: Xie, Tianyu, et al.
Published: (2025)

Mid-Training of Large Language Models: A Survey
by: Mo, Kaixiang, et al.
Published: (2025)

Social Skill Training with Large Language Models
by: Yang, Diyi, et al.
Published: (2024)

Predicting Anti-microbial Resistance using Large Language Models
by: Yoo, Hyunwoo, et al.
Published: (2024)

Evolution without Large Models: Training Language Model with Task Principles
by: Zhu, Minghang, et al.
Published: (2025)

DeepSeek's WEIRD Behavior: The cultural alignment of Large Language Models and the effects of prompt language and cultural prompting
by: Luther, James, et al.
Published: (2025)

Cool-Fusion: Fuse Large Language Models without Training
by: Liu, Cong, et al.
Published: (2024)

Latent Distance Guided Alignment Training for Large Language Models
by: Luo, Haotian
Published: (2024)

Towards Training A Chinese Large Language Model for Anesthesiology
by: Wang, Zhonghai, et al.
Published: (2024)

Training-Free Long-Context Scaling of Large Language Models
by: An, Chenxin, et al.
Published: (2024)

DAST: Difficulty-Aware Self-Training on Large Language Models
by: Xue, Boyang, et al.
Published: (2025)

Context-Preserving Tensorial Reconfiguration in Large Language Model Training
by: Tonix, Larin, et al.
Published: (2025)

Is Temperature the Creativity Parameter of Large Language Models?
by: Peeperkorn, Max, et al.
Published: (2024)

Evolving Subnetwork Training for Large Language Models
by: Li, Hanqi, et al.
Published: (2024)

On the Effectiveness of Incremental Training of Large Language Models
by: Li, Miles Q., et al.
Published: (2024)

STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models
by: Raman, Narun, et al.
Published: (2025)

Prior Constraints-based Reward Model Training for Aligning Large Language Models
by: Zhou, Hang, et al.
Published: (2024)

Training Large Language Models to Reason in a Continuous Latent Space
by: Hao, Shibo, et al.
Published: (2024)

On the Diversity of Synthetic Data and its Impact on Training Large Language Models
by: Chen, Hao, et al.
Published: (2024)

Self-Training Large Language Models for Tool-Use Without Demonstrations
by: Luo, Ne, et al.
Published: (2025)