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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.
Co-authors: 0 (list not available)