| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... arXiv preprint arXiv:2404.14219, 2024 | 864 | 2024 |
| Check your facts and try again: Improving large language models with external knowledge and automated feedback B Peng, M Galley, P He, H Cheng, Y Xie, Y Hu, Q Huang, L Liden, Z Yu, ... arXiv preprint arXiv:2302.12813, 2023 | 440 | 2023 |
| Soloist: Building Task Bots at Scale with Transfer Learning and Machine Teaching B Peng, C Li, J Li, S Shayandeh, L Liden, J Gao Transactions of the Association for Computational Linguistics 9, 807-824, 2021 | 199 | 2021 |
| Electronic noses and their applications PE Keller, LJ Kangas, LH Liden, S Hashem, RT Kouzes World congress on neural networks (WCNN), 928-931, 1995 | 186 | 1995 |
| Biomedclip: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs S Zhang, Y Xu, N Usuyama, H Xu, J Bagga, R Tinn, S Preston, R Rao, ... arXiv preprint arXiv:2303.00915, 2023 | 166 | 2023 |
| Behavioral improvements associated with computer-assisted instruction for children with developmental disabilities. C Whalen, L Liden, B Ingersoll, E Dallaire, S Liden The Journal of Speech and Language Pathology–Applied Behavior Analysis 1 (1), 11, 2006 | 154 | 2006 |
| Soloist: Few-shot task-oriented dialog with a single pretrained auto-regressive model B Peng, C Li, J Li, S Shayandeh, L Liden, J Gao arXiv preprint arXiv:2005.05298 3, 2020 | 150 | 2020 |
| Artificial stupidity: The art of intentional mistakes L Lidén AI game programming wisdom 2 (5), 41-48, 2003 | 117 | 2003 |
| Overview of the ninth dialog system technology challenge: Dstc9 C Gunasekara, S Kim, LF D'haro, A Rastogi, YN Chen, M Eric, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 73 | 2024 |
| Godel: Large-scale pre-training for goal-directed dialog B Peng, M Galley, P He, C Brockett, L Liden, E Nouri, Z Yu, B Dolan, ... arXiv preprint arXiv:2206.11309, 2022 | 63 | 2022 |
| The role of terminators and occlusion cues in motion integration and segmentation: a neural network model L Lidén, C Pack Vision research 39 (19), 3301-3320, 1999 | 62 | 1999 |
| Knowledge-grounded dialogue generation with a unified knowledge representation Y Li, B Peng, Y Shen, Y Mao, L Liden, Z Yu, J Gao arXiv preprint arXiv:2112.07924, 2021 | 56 | 2021 |
| Strategic and tactical reasoning with waypoints L Lidén AI Game Programming Wisdom, 211-220, 2002 | 56 | 2002 |
| Transaction tracking and incentives H Ramalingam, PJ Walsh, M Carr, LH Liden, N Mittal US Patent 9,767,474, 2017 | 43 | 2017 |
| Monocular occlusion cues alter the influence of terminator motion in the barber pole phenomenon L Lidén, E Mingolla Vision research 38 (24), 3883-3898, 1998 | 43 | 1998 |
| Outsourcing document-transformation tasks while protecting sensitive information LH Liden, DJ Driscoll, AF Monroy-Hernandez US Patent 9,390,282, 2016 | 38 | 2016 |
| Phi-3 technical report: A highly capable language model locally on your phone, 2024 M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... URL https://arxiv. org/abs/2404.14219, 2024 | 30 | 2024 |
| Robust conversational AI with grounded text generation J Gao, B Peng, C Li, J Li, S Shayandeh, L Liden, HY Shum arXiv preprint arXiv:2009.03457, 2020 | 27 | 2020 |
| Creating connections and shared spaces S Ickman, L Liden, H Liu, W Portnoy, S Shayandeh, J Von Itter US Patent 9,893,903, 2018 | 26 | 2018 |
| Graphical user interface features for updating a conversational bot L Liden, J Williams, S Shayandeh, M Mazzola US Patent App. 15/992,143, 2019 | 24 | 2019 |
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