| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 2246 | 2024 |
| Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling B Liu, I Lane INTERSPEECH, 685-689, 2016 | 888 | 2016 |
| Dialogue learning with human teaching and feedback in end-to-end trainable task-oriented dialogue systems B Liu, G Tur, D Hakkani-Tur, P Shah, L Heck The 16th Annual Conference of the North American Chapter of the Association …, 2018 | 219 | 2018 |
| Bootstrapping a neural conversational agent with dialogue self-play, crowdsourcing and on-line reinforcement learning P Shah, D Hakkani-Tur, B Liu, G Tur Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 186 | 2018 |
| Continual learning in task-oriented dialogue systems A Madotto, Z Lin, Z Zhou, S Moon, P Crook, B Liu, Z Yu, E Cho, Z Wang arXiv preprint arXiv:2012.15504, 2020 | 124 | 2020 |
| Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks B Liu, I Lane The 17th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2016), 22-30, 2016 | 123 | 2016 |
| An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialog B Liu, I Lane INTERSPEECH, 2506-2510, 2017 | 116 | 2017 |
| Iterative Policy Learning in End-to-end Trainable Task-Oriented Neural Dialog Models B Liu, I Lane The 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017 | 115 | 2017 |
| Leveraging slot descriptions for zero-shot cross-domain dialogue state tracking Z Lin, B Liu, S Moon, P Crook, Z Zhou, Z Wang, Z Yu, A Madotto, E Cho, ... arXiv preprint arXiv:2105.04222, 2021 | 96 | 2021 |
| Recurrent Neural Network Structured Output Prediction for Spoken Language Understanding B Liu, I Lane NIPS 2015 Workshop on Machine Learning for Spoken Language Understanding and …, 2015 | 83 | 2015 |
| Adding chit-chat to enhance task-oriented dialogues K Sun, S Moon, P Crook, S Roller, B Silvert, B Liu, Z Wang, H Liu, E Cho, ... arXiv preprint arXiv:2010.12757, 2020 | 78 | 2020 |
| End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning B Liu, G Tur, D Hakkani-Tur, P Shah, L Heck NIPS 2017 Workshop on Conversational AI, 2017 | 72 | 2017 |
| The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv e-prints, arXiv: 2407.21783, 2024 | 67 | 2024 |
| Analyzing the forgetting problem in pretrain-finetuning of open-domain dialogue response models T He, J Liu, K Cho, M Ott, B Liu, J Glass, F Peng Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 66 | 2021 |
| Zero-shot dialogue state tracking via cross-task transfer Z Lin, B Liu, A Madotto, S Moon, P Crook, Z Zhou, Z Wang, Z Yu, E Cho, ... arXiv preprint arXiv:2109.04655, 2021 | 65 | 2021 |
| End-to-end learning of task-oriented dialogs B Liu, I Lane Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 48 | 2018 |
| Adversarial Learning of Task-Oriented Neural Dialog Models B Liu, I Lane The 19th Annual Meeting of the Special Interest Group on Discourse and …, 2018 | 45 | 2018 |
| User memory reasoning for conversational recommendation H Xu, S Moon, H Liu, B Liu, P Shah, PS Yu Proceedings of the 28th International Conference on Computational …, 2020 | 44 | 2020 |
| Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models B Liu, T Yu, I Lane, M Ole The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 44 | 2018 |
| Multi-Domain Adversarial Learning for Slot Filling in Spoken Language Understanding B Liu, I Lane NIPS 2017 Workshop on Conversational AI, 2017 | 42 | 2017 |
Ian LaneCarnegie Mellon University確認したメール アドレス: andrew.cmu.edu