| Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation T Aksu, MY Kan, NF Chen ACL 2023, 2023 | 10 | 2023 |
| N-shot learning for augmenting task-oriented dialogue state tracking T Aksu, Z Liu, MY Kan, NF Chen ACL 2022, 2022 | 10 | 2022 |
| Velocidapter: Task-oriented Dialogue Comprehension Modeling Pairing Synthetic Text Generation with Domain Adaptation IT Aksu, Z Liu, MY Kan, N Chen SIGDIAL 2022, 2022 | 5 | 2022 |
| CESAR: Automatic induction of compositional instructions for multi-turn dialogs T Aksu, D Hazarika, S Mehri, S Kim, D Hakkani-Tür, Y Liu, M Namazifar EMNLP 2023, 2023 | 3 | 2023 |
| Reranking of responses using transfer learning for a retrieval-based chatbot IT Aksu, NF Chen, LF D’Haro, RE Banchs Increasing Naturalness and Flexibility in Spoken Dialogue Interaction: 10th …, 2021 | 3 | 2021 |
| XForecast: Evaluating Natural Language Explanations for Time Series Forecasting T Aksu, C Liu, A Saha, S Tan, C Xiong, D Sahoo arXiv preprint arXiv:2410.14180, 2024 | | 2024 |
| GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation T Aksu, G Woo, J Liu, X Liu, C Liu, S Savarese, C Xiong, D Sahoo arXiv preprint arXiv:2410.10393, 2024 | | 2024 |
| Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts X Liu, J Liu, G Woo, T Aksu, Y Liang, R Zimmermann, C Liu, S Savarese, ... arXiv preprint arXiv:2410.10469, 2024 | | 2024 |
| Granular Change Accuracy: A More Accurate Performance Metric for Dialogue State Tracking T Aksu, NF Chen LREC-COLING 2024, 2024 | | 2024 |
| Mixture of Experts for Time Series Foundation Models X Liu, J Liu, G Woo, T Aksu, C Liu, S Savarese, C Xiong, D Sahoo NeurIPS Workshop on Time Series in the Age of Large Models, 0 | | |
Nancy F. ChenFellow, Multimodal Generative AI Group Leader, AI for Education Programme Head at A*STARVerified email at csail.mit.edu