Preethi Jyothi

IIT Bombay

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Natural Language Processing (2)Eval Frameworks & Benchmarks (1)

Frequent co-authors

Poulami Ghosh (1)Sanjeev Kumar (1)

Papers (2)

Jul 29, 2026

Language Models are not Equally Robust to Non-Canonical Tokenization across Languages

Tokenization robustness varies dramatically across languages, with some models experiencing performance drops of up to 23.7% under non-canonical tokenizations.

Poulami Ghosh, Preethi Jyothi

Natural Language Processing

Feb 19, 2026

Feb 19, 2026·also IIT Bombay

Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics

Don't ditch BLEU for ChrF++ just yet: in extremely low-resource MT, BLEU's lexical precision offers crucial insights that ChrF++ misses.

Sanjeev Kumar, Preethi Jyothi

Eval Frameworks & Benchmarks Natural Language Processing

Preethi Jyothi

Research focus

Frequent co-authors

Papers (2)

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Preethi Jyothi

Research focus

Frequent co-authors

Papers (2)