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Yongbin Yu

2 accepted papers

2026

RETRIEVEALL: A MULTILINGUAL NAMED ENTITY RECOGNITION FRAMEWORK WITH LARGE LANGUAGE MODELS

ICASSP 2026poster

The rise of large language models has led to significant performance breakthroughs in named entity recognition (NER) for high-resource languages, yet there remains substantial room for improvement in low- and medium-resource languages. Existing multilingual NER methods face severe language interfere…

Cited by 0SourcePDFScholar
2025

TLUE: A Tibetan Language Understanding Evaluation Benchmark

EMNLP 2025

Large language models have made tremendous progress in recent years, but low-resource languages, like Tibetan, remain significantly underrepresented in their evaluation. Despite Tibetan being spoken by over seven million people, it has largely been neglected in the development and assessment of LLMs