Introduces Indi-RomCoM benchmark for evaluating LLMs on Romanized code-mixed Indic-English instructions across seven tasks, four languages, and three mixing levels.
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BrahmicTokenizer-131K is a 131K-vocab tokenizer constructed via script-prune crop and linear-programming retrofit to o200k_base, achieving 26.7% fewer tokens on Indic text while matching o200k_base on English fertility and outperforming alternatives on code/math benchmarks.
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Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English Instructions
Introduces Indi-RomCoM benchmark for evaluating LLMs on Romanized code-mixed Indic-English instructions across seven tasks, four languages, and three mixing levels.
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BrahmicTokenizer-131K: An Indic-Capable Drop-In Replacement for o200k_base
BrahmicTokenizer-131K is a 131K-vocab tokenizer constructed via script-prune crop and linear-programming retrofit to o200k_base, achieving 26.7% fewer tokens on Indic text while matching o200k_base on English fertility and outperforming alternatives on code/math benchmarks.