| A diversity-promoting objective function for neural conversation models J Li, M Galley, C Brockett, J Gao, B Dolan Proc. of NAACL-HLT, 2016 | 2671 | 2016 |
| Deep reinforcement learning for dialogue generation J Li, W Monroe, A Ritter, M Galley, J Gao, D Jurafsky Proc. of EMNLP, 2016 | 1638 | 2016 |
| DialoGPT: Large-scale generative pre-training for conversational response generation Y Zhang, S Sun, M Galley, YC Chen, C Brockett, X Gao, J Gao, J Liu, ... Proc. of ACL, Demonstration Session, 2019 | 1587 | 2019 |
| A persona-based neural conversation model J Li, M Galley, C Brockett, GP Spithourakis, J Gao, B Dolan Proc. of ACL, 2016 | 1331 | 2016 |
| A neural network approach to context-sensitive generation of conversational responses A Sordoni, M Galley, M Auli, C Brockett, Y Ji, M Mitchell, JY Nie, J Gao, ... Proc. of NAACL-HLT, 2015 | 1148 | 2015 |
| Neural approaches to conversational AI J Gao, M Galley, L Li Foundations and Trends in Information Retrieval, 2019 | 894 | 2019 |
| Instruction tuning with GPT-4 B Peng, C Li, P He, M Galley, J Gao arXiv preprint arXiv:2304.03277, 2023 | 785 | 2023 |
| A knowledge-grounded neural conversation model M Ghazvininejad, C Brockett, MW Chang, B Dolan, J Gao, W Yih, ... Proc. of AAAI, 2018 | 662 | 2018 |
| What's in a translation rule? M Galley, M Hopkins, K Knight, D Marcu Proc. of HLT-NAACL, 2004 | 652 | 2004 |
| Scalable inference and training of context-rich syntactic translation models M Galley, J Graehl, K Knight, D Marcu, S DeNeefe, W Wang, I Thayer Proc. of ACL-COLING, 961-968, 2006 | 559 | 2006 |
| Visual storytelling THK Huang, F Ferraro, N Mostafazadeh, I Misra, A Agrawal, J Devlin, ... Proc. of NAACL-HLT, 1233-1239, 2016 | 506 | 2016 |
| Discourse segmentation of multi-party conversation M Galley, K McKeown, E Fosler-Lussier, H Jing Proc. of ACL, 562-569, 2003 | 489 | 2003 |
| Optimizing Chinese word segmentation for machine translation performance PC Chang, M Galley, CD Manning Proc. of the workshop on statistical machine translation (WMT), 224-232, 2008 | 422 | 2008 |
| Understanding emotions in text using deep learning and big data A Chatterjee, U Gupta, MK Chinnakotla, R Srikanth, M Galley, P Agrawal Computers in Human Behavior 93, 309-317, 2019 | 417 | 2019 |
| 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 | 390 | 2023 |
| A simple and effective hierarchical phrase reordering model M Galley, CD Manning Proc. of EMNLP, 2008 | 388 | 2008 |
| Joint Language and Translation Modeling with Recurrent Neural Networks. M Auli, M Galley, C Quirk, G Zweig Proc. of EMNLP, 2013 | 367 | 2013 |
| Chameleon: Plug-and-play compositional reasoning with large language models P Lu, B Peng, H Cheng, M Galley, KW Chang, YN Wu, SC Zhu, J Gao Proc. of NeurIPS, 2023 | 354 | 2023 |
| MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts P Lu, H Bansal, T Xia, J Liu, C Li, H Hajishirzi, H Cheng, KW Chang, ... Proc. of ICLR, 2024 | 338 | 2024 |
| Generating informative and diverse conversational responses via adversarial information maximization Y Zhang, M Galley, J Gao, Z Gan, X Li, C Brockett, B Dolan Proc. of NeurIPS, 1815-1825, 2018 | 316 | 2018 |
Jianfeng GaoMicrosoft Research, Redmond在 microsoft.com 的电子邮件经过验证
