Papers by Hiroki Nomoto
Thank You, Stingray: Multilingual Large Language Models Can Not (Yet) Disambiguate Cross-Lingual Word Senses (2025.findings-naacl)
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Samuel Cahyawijaya, Ruochen Zhang, Jan Christian Blaise Cruz, Holy Lovenia, Elisa Gilbert, Hiroki Nomoto, Alham Fikri Aji
| Challenge: | Existing studies on multilingual large language models have raised concerns about their reliability beyond English. |
| Approach: | They propose a benchmark for cross-lingual sense disambiguation that uses false friends to identify the limitation of cross-linguistic sense disembarrassment in LLMs. |
| Outcome: | The proposed benchmark pinpoints the limitation of cross-lingual sense disambiguation in LLMs by using false friends in four languages. |
Linking the TUFS Basic Vocabulary to the Open Multilingual Wordnet (2020.lrec-1)
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| Challenge: | The TUFS Basic Vocabulary Modules are hand created, using commonly occurring vocabulary. |
| Approach: | They propose to link the TUFS Basic Vocabulary Modules with the Open Multilingual Wordnet to create a multilingual lexicon. |
| Outcome: | The proposed lexicons can be used to evaluate existing wordnets, add data to wordnet synsets and create new open wordnet for Khmer, Korean, Lao, Mongolian, Russian, Tagalog, Urdua nd Vietnamese. |