How Many Labels Does a Language Need? Annotation Budgets and Cross-Lingual Pooling for African-Language Text Classification

arXiv:2609.37882 · cs.CL, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Benchmark — 16× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 8× in this paper · explained in 4 episodes
• Association for Computational Linguistics — 6× in this paper
• Core — 5× in this paper · explained in 2 episodes
• Active Learning — 3× in this paper · explained in 6 episodes
• Empirical Methods in Natural Language Processing — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Pruning — 1× in this paper · explained in 4 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering