| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2464 | 2023 |
| React: Synergizing reasoning and acting in language models S Yao, J Zhao, D Yu, N Du, I Shafran, K Narasimhan, Y Cao arXiv preprint arXiv:2210.03629, 2022 | 2142 | 2022 |
| Tree of thoughts: Deliberate problem solving with large language models S Yao, D Yu, J Zhao, I Shafran, T Griffiths, Y Cao, K Narasimhan Advances in Neural Information Processing Systems 36, 2024 | 2102 | 2024 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 972 | 2024 |
| Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions HC Lin, I Shafran, D Yuh, GD Hager Computer aided surgery 11 (5), 220-230, 2006 | 342 | 2006 |
| Multichannel signal processing with deep neural networks for automatic speech recognition TN Sainath, RJ Weiss, KW Wilson, B Li, A Narayanan, E Variani, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (5), 965-979, 2017 | 286 | 2017 |
| Acoustic Modeling for Google Home. B Li, TN Sainath, A Narayanan, J Caroselli, M Bacchiani, A Misra, ... Interspeech, 399-403, 2017 | 208 | 2017 |
| Voice signatures I Shafran, M Riley, M Mohri 2003 IEEE workshop on automatic speech recognition and understanding (IEEE …, 2003 | 150 | 2003 |
| The SRI/OGI 2006 spoken term detection system. D Vergyri, I Shafran, A Stolcke, VRR Gadde, M Akbacak, B Roark, ... Interspeech, 2393-2396, 2007 | 148 | 2007 |
| Fully automated assessment of the severity of Parkinson's disease from speech A Bayestehtashk, M Asgari, I Shafran, J McNames Computer speech & language 29 (1), 172-185, 2015 | 133 | 2015 |
| Joint speech recognition and speaker diarization via sequence transduction LE Shafey, H Soltau, I Shafran arXiv preprint arXiv:1907.05337, 2019 | 131 | 2019 |
| Automatic detection and segmentation of robot-assisted surgical motions HC Lin, I Shafran, TE Murphy, AM Okamura, DD Yuh, GD Hager International conference on medical image computing and computer-assisted …, 2005 | 131 | 2005 |
| Accent detection and speech recognition for Shanghai-accented Mandarin. Y Zheng, R Sproat, L Gu, I Shafran, H Zhou, Y Su, D Jurafsky, R Starr, ... Interspeech, 217-220, 2005 | 131 | 2005 |
| Prosody models for conversational speech recognition M OstendorfÝ, I ShafranÞ, R Bates | 110 | 2003 |
| Fully automated neuropsychological assessment for detecting mild cognitive impairment. M Lehr, ET Prud'hommeaux, I Shafran, B Roark Interspeech 2012, 2012 | 99 | 2012 |
| Context dependent phone models for LSTM RNN acoustic modelling A Senior, H Sak, I Shafran 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 78 | 2015 |
| Extracting symptoms and their status from clinical conversations N Du, K Chen, A Kannan, L Tran, Y Chen, I Shafran arXiv preprint arXiv:1906.02239, 2019 | 77 | 2019 |
| Predicting severity of Parkinson's disease from speech M Asgari, I Shafran 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 69 | 2010 |
| ReAct: synergizing reasoning and acting in language models (2022) S Yao, J Zhao, D Yu, N Du, I Shafran, K Narasimhan, Y Cao arXiv preprint arXiv:2210.03629, 2023 | 66 | 2023 |
| Tree of thoughts: Deliberate problem solving with large language models, 2023 S Yao, D Yu, J Zhao, I Shafran, TL Griffiths, Y Cao, K Narasimhan URL https://arxiv. org/pdf/2305.10601. pdf, 2023 | 61 | 2023 |
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