J
Scholar

Jason Riesa

Google Scholar ID: Pq3EfQoAAAAJ
Google Inc
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Academic Achievements
  • Google's neural machine translation system: Bridging the gap between human and machine translation (2016, Citations: 10042)
  • Gemini: a family of highly capable multimodal models (2023, Citations: 6314)
  • Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (2024, Citations: 3006)
  • Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities (2025, Citations: 632)
  • Fleurs: Few-shot learning evaluation of universal representations of speech (2023, Citations: 489)
  • Google usm: Scaling automatic speech recognition beyond 100 languages (2023, Citations: 404)
  • Small and practical BERT models for sequence labeling (2019, Citations: 165)
  • mslam: Massively multilingual joint pre-training for speech and text (2022, Citations: 144)
  • SLAM: A unified encoder for speech and language modeling via speech-text joint pre-training (2021, Citations: 106)
  • Building machine translation systems for the next thousand languages (2022, Citations: 103)
  • Evaluating the cross-lingual effectiveness of massively multilingual neural machine translation (2020, Citations: 82)
  • Improving multilingual models with language-clustered vocabularies (2020, Citations: 79)
  • Hierarchical search for word alignment (2010, Citations: 50)
Research Experience
  • Works at Google Inc., involved in multiple projects related to natural language processing and machine translation.
Background
  • Research interests include Natural Language Processing, Machine Translation, and Machine Learning.
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