Lin, Zhaojiang

Personalizing Dialogue Agents via Meta-Learning

Madotto, A., Lin, Z., Wu, C.-S., & Fung, P. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 183

Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems

Madotto, A., Liu, Z., Lin, Z., & Fung, P. (2020) · arXiv

Speech and dialogue systemsDomain Adaptation and Few-Shot Learning

Cited by 36

IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning

Moon, S., Madotto, A., Lin, Z., Saraf, A., Bearman, A., & Damavandi, B. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Multimodal Machine Learning ApplicationsContext-Aware Activity Recognition Systems

Cited by 18

IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text

Moon, S., Madotto, A., Lin, Z., Dirafzoon, A., Saraf, A., Bearman, A., & Damavandi, B. (2022) · arXiv

Multimodal Machine Learning ApplicationsContext-Aware Activity Recognition Systems

Cited by 10

AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model

Moon, S., Madotto, A., Lin, Z., Nagarajan, T., Smith, M., Jain, S., Yeh, C.-F., Murugesan, P., Heidari, P., Liu, Y., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 7