BURMESE-SAN creates the first comprehensive Burmese NLP benchmark with seven subtasks and shows architecture, representation, and instruction tuning outweigh model scale for performance.
InFind- ings of the Association for Computational Lin- guistics: ACL-IJCNLP 2021, pages 4693–4703, Online
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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.