Massimo Nicosia
Massimo Nicosia is a Staff Research Engineer at Google DeepMind focusing on the multimodal understanding capabilities of large language models (including Gemini) and multilinguality.
Authored Publications
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XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Sebastian Ruder
Mihir Sanjay Kale
Shruti Rijhwani
Jean-Michel Sarr
Cindy Wang
John Wieting
Christo Kirov
Dana L. Dickinson
Bidisha Samanta
Connie Tao
David Adelani
Reeve Ingle
Dmitry Panteleev
Findings of the Association for Computational Linguistics: EMNLP 2023, Association for Computational Linguistics, Singapore, pp. 1856-1884
Evaluating Byte and Wordpiece Level Models for Massively Multilingual Semantic Parsing
Massively Multilingual NLU 2022, colocated with EMNLP 2022, The 2022 Conference on Empirical Methods in Natural Language Processing (2022)
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing by Generating Synthetic Data
Zhongdi Qu
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (Findings), Association for Computational Linguistics (2021) (to appear)
Answering Conversational Questions on Structured Data without Logical Forms
Thomas Müller
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (2019)
