Research Focus
My work centers on multilingual NLP, low-resource languages, and large language models. I am particularly interested in robust evaluation, bias mitigation, and machine translation quality across diverse language settings.
Current Interests
- Low-resource and multilingual model adaptation.
- Machine translation evaluation and hallucination detection.
- Cross-lingual toxicity detection and fairness.
- Language-agnostic linguistic reasoning benchmarks.
Representative Topics
Machine Translation for low- and high-resource settings
Evaluation, hallucination detection, and quality estimation.
Large language models for multilingual NLP
Bias, robustness, and cross-lingual transfer.
Benchmarking linguistic reasoning across languages
Design and analysis of language-agnostic evaluation datasets.