| A real-world webagent with planning, long context understanding, and program synthesis I Gur, H Furuta, A Huang, M Safdari, Y Matsuo, D Eck, A Faust arXiv preprint arXiv:2307.12856, 2023 | 208 | 2023 |
| On generating characteristic-rich question sets for qa evaluation Y Su, H Sun, B Sadler, M Srivatsa, I Gür, Z Yan, X Yan Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 144 | 2016 |
| Multimodal web navigation with instruction-finetuned foundation models H Furuta, KH Lee, O Nachum, Y Matsuo, A Faust, SS Gu, I Gur arXiv preprint arXiv:2305.11854, 2023 | 111 | 2023 |
| Beyond human data: Scaling self-training for problem-solving with language models A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, X Garcia, PJ Liu, ... arXiv preprint arXiv:2312.06585, 2023 | 107 | 2023 |
| Understanding html with large language models I Gur, O Nachum, Y Miao, M Safdari, A Huang, A Chowdhery, S Narang, ... arXiv preprint arXiv:2210.03945, 2022 | 92 | 2022 |
| Dialsql: Dialogue based structured query generation I Gür, S Yavuz, Y Su, X Yan Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 88 | 2018 |
| Small-scale proxies for large-scale transformer training instabilities M Wortsman, PJ Liu, L Xiao, K Everett, A Alemi, B Adlam, JD Co-Reyes, ... arXiv preprint arXiv:2309.14322, 2023 | 77 | 2023 |
| Environment generation for zero-shot compositional reinforcement learning I Gur, N Jaques, Y Miao, J Choi, M Tiwari, H Lee, A Faust Advances in Neural Information Processing Systems 34, 4157-4169, 2021 | 68* | 2021 |
| User modeling for task oriented dialogues I Gür, D Hakkani-Tür, G Tür, P Shah 2018 IEEE Spoken Language Technology Workshop (SLT), 900-906, 2018 | 67 | 2018 |
| Learning to Navigate the Web I Gur, U Rueckert, A Faust, D Hakkani-Tur International Conference on Learning Representations, 2019 | 66 | 2019 |
| Improving semantic parsing via answer type inference S Yavuz, I Gür, Y Su, M Srivatsa, X Yan Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 65 | 2016 |
| Less is more: Generating grounded navigation instructions from landmarks S Wang, C Montgomery, J Orbay, V Birodkar, A Faust, I Gur, N Jaques, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 62* | 2022 |
| Global relation embedding for relation extraction Y Su, H Liu, S Yavuz, I Gur, H Sun, X Yan arXiv preprint arXiv:1704.05958, 2017 | 44 | 2017 |
| What it takes to achieve 100% condition accuracy on WikiSQL S Yavuz, I Gür, Y Su, X Yan Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 35 | 2018 |
| Assessing post-disaster damage from satellite imagery using semi-supervised learning techniques J Lee, JZ Xu, K Sohn, W Lu, D Berthelot, I Gur, P Khaitan, K Koupparis, ... arXiv preprint arXiv:2011.14004, 2020 | 31 | 2020 |
| Accurate supervised and semi-supervised machine reading for long documents I Gur, D Hewlett, L Jones, A Lacoste Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 29* | 2017 |
| Scaling exponents across parameterizations and optimizers K Everett, L Xiao, M Wortsman, AA Alemi, R Novak, PJ Liu, I Gur, ... arXiv preprint arXiv:2407.05872, 2024 | 22 | 2024 |
| Modeling individual and group evacuation decisions during wildfires C Nguyen, KJ Schlesinger, F Han, I Gür, JM Carlson Fire technology 55, 517-545, 2019 | 18 | 2019 |
| Language Model Agents Suffer from Compositional Generalization in Web Automation H Furuta, Y Matsuo, A Faust, I Gur arXiv preprint arXiv:2311.18751, 2023 | 17* | 2023 |
| Clutr: Curriculum learning via unsupervised task representation learning AS Azad, I Gur, J Emhoff, N Alexis, A Faust, P Abbeel, I Stoica International Conference on Machine Learning, 1361-1395, 2023 | 16 | 2023 |
Aleksandra FaustGoogle DeepMind, Mountain View, CAایمیل تأیید شده در google.com