Zhaojiang Lin

According to our database1, Zhaojiang Lin authored at least 47 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM.
CoRR, 2024

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling.
CoRR, 2024

2023
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model.
CoRR, 2023

IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Continual Dialogue State Tracking via Example-Guided Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Introducing Semantics into Speech Encoders.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Joint Audio-Text Model for Expressive Speech-Driven 3D Facial Animation.
Proc. ACM Comput. Graph. Interact. Tech., 2022

Introducing Semantics into Speech Encoders.
CoRR, 2022

IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text.
CoRR, 2022

Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values.
CoRR, 2022

FaceFormer: Speech-Driven 3D Facial Animation with Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems.
CoRR, 2021

Language Models are Few-shot Multilingual Learners.
CoRR, 2021

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking.
CoRR, 2021

BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Continual Learning in Task-Oriented Dialogue Systems.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Zero-Shot Dialogue State Tracking via Cross-Task Transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CAiRE in DialDoc21: Data Augmentation for Information Seeking Dialogue System.
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021

Are Multilingual Models Effective in Code-Switching?
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, 2021

On the Importance of Word Order Information in Cross-lingual Sequence Labeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

The Adapter-Bot: All-In-One Controllable Conversational Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Continual Learning in Task-Oriented Dialogue Systems.
CoRR, 2020

EmoGraph: Capturing Emotion Correlations using Graph Networks.
CoRR, 2020

Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems.
CoRR, 2020

Variational Transformers for Diverse Response Generation.
CoRR, 2020

XPersona: Evaluating Multilingual Personalized Chatbot.
CoRR, 2020

Attention over Parameters for Dialogue Systems.
CoRR, 2020

Getting To Know You: User Attribute Extraction from Dialogues.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Learning Fast Adaptation on Cross-Accented Speech Recognition.
Proceedings of the Interspeech 2020, 2020

G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Lightweight and Efficient End-To-End Speech Recognition Using Low-Rank Transformer.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Plug-and-Play Conversational Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Cross-lingual Spoken Language Understanding with Regularized Representation Alignment.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Meta-Transfer Learning for Code-Switched Speech Recognition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

CAiRE: An End-to-End Empathetic Chatbot.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
CAiRE: An End-to-End Empathetic Chatbot.
CoRR, 2019

CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Learning Multilingual Meta-Embeddings for Code-Switching Named Entity Recognition.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Learning Comment Generation by Leveraging User-generated Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

MoEL: Mixture of Empathetic Listeners.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Personalizing Dialogue Agents via Meta-Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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