BURMESE-SAN creates the first comprehensive Burmese NLP benchmark with seven subtasks and shows architecture, representation, and instruction tuning outweigh model scale for performance.
InFindings of the Association for Computational Linguistics: NAACL 2025, pages 6119–6136, Albuquerque, New Mexico
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
BURMESE-SAN: Burmese NLP Benchmark for Evaluating Large Language Models
BURMESE-SAN creates the first comprehensive Burmese NLP benchmark with seven subtasks and shows architecture, representation, and instruction tuning outweigh model scale for performance.