| USR: An unsupervised and reference free evaluation metric for dialog generation S Mehri, M Eskenazi arXiv preprint arXiv:2005.00456, 2020 | 141 | 2020 |
| Dialoglue: A natural language understanding benchmark for task-oriented dialogue S Mehri, M Eric, D Hakkani-Tur arXiv preprint arXiv:2009.13570, 2020 | 118 | 2020 |
| Unsupervised evaluation of interactive dialog with dialogpt S Mehri, M Eskenazi arXiv preprint arXiv:2006.12719, 2020 | 107 | 2020 |
| Structured fusion networks for dialog S Mehri, T Srinivasan, M Eskenazi arXiv preprint arXiv:1907.10016, 2019 | 94 | 2019 |
| Investigating evaluation of open-domain dialogue systems with human generated multiple references P Gupta, S Mehri, T Zhao, A Pavel, M Eskenazi, JP Bigham arXiv preprint arXiv:1907.10568, 2019 | 84 | 2019 |
| Pretraining methods for dialog context representation learning S Mehri, E Razumovskaia, T Zhao, M Eskenazi arXiv preprint arXiv:1906.00414, 2019 | 84 | 2019 |
| Overview of the ninth dialog system technology challenge: Dstc9 C Gunasekara, S Kim, LF D’Haro, A Rastogi, YN Chen, M Eric, ... Cho, 0 | 82* | |
| A comprehensive assessment of dialog evaluation metrics YT Yeh, M Eskenazi, S Mehri arXiv preprint arXiv:2106.03706, 2021 | 70 | 2021 |
| Chat disentanglement: Identifying semantic reply relationships with random forests and recurrent neural networks S Mehri, G Carenini Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 50 | 2017 |
| Example-driven intent prediction with observers S Mehri, M Eric arXiv preprint arXiv:2010.08684, 2020 | 34 | 2020 |
| Star: A schema-guided dialog dataset for transfer learning JEM Mosig, S Mehri, T Kober arXiv preprint arXiv:2010.11853, 2020 | 26 | 2020 |
| InstructDial: improving zero and few-shot generalization in dialogue through instruction tuning P Gupta, C Jiao, YT Yeh, S Mehri, M Eskenazi, JP Bigham Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 22 | 2022 |
| Middle-out decoding S Mehri, L Sigal Advances in Neural Information Processing Systems 31, 2018 | 22 | 2018 |
| Report from the nsf future directions workshop on automatic evaluation of dialog: Research directions and challenges S Mehri, J Choi, LF D'Haro, J Deriu, M Eskenazi, M Gasic, K Georgila, ... arXiv preprint arXiv:2203.10012, 2022 | 17 | 2022 |
| Improving zero and few-shot generalization in dialogue through instruction tuning P Gupta, C Jiao, YT Yeh, S Mehri, M Eskenazi, JP Bigham arXiv preprint arXiv:2205.12673, 2022 | 16 | 2022 |
| Gensf: Simultaneous adaptation of generative pre-trained models and slot filling S Mehri, M Eskenazi arXiv preprint arXiv:2106.07055, 2021 | 15 | 2021 |
| " None of the Above": Measure Uncertainty in Dialog Response Retrieval Y Feng, S Mehri, M Eskenazi, T Zhao arXiv preprint arXiv:2004.01926, 2020 | 12 | 2020 |
| Beyond turing: Intelligent agents centered on the user M Eskenazi, S Mehri, E Razumovskaia, T Zhao arXiv preprint arXiv:1901.06613, 2019 | 12 | 2019 |
| Schema-guided paradigm for zero-shot dialog S Mehri, M Eskenazi arXiv preprint arXiv:2106.07056, 2021 | 9 | 2021 |
| Multi-granularity representations of dialog S Mehri, M Eskenazi arXiv preprint arXiv:1908.09890, 2019 | 9 | 2019 |
Maxine EskenaziPrincipal Systems Scientist, Carnegie Mellon UniversityE-mail megerősítve itt: cs.cmu.edu
