Qingyang Wu

About Qingyang Wu

Qingyang Wu, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Natural Language Processing, Artificial Intelligence, Text Generation.

His recent articles reflect a diverse array of research interests and contributions to the field:

DiactTOD: Learning generalizable latent dialogue acts for controllable task-oriented dialogue systems

Using textual interface to align external knowledge for end-to-end task-oriented dialogue systems

ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes

FaceChat: An Emotion-Aware Face-to-face Dialogue Framework

Gligen: Open-set grounded text-to-image generation

Krls: Improving end-to-end response generation in task oriented dialog with reinforced keywords learning

DG2: Data augmentation through document grounded dialogue generation

PRAL: A tailored pre-training model for task-oriented dialog generation

Qingyang Wu Information

University

Position

___

Citations(all)

1135

Citations(since 2020)

1134

Cited By

50

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

9

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Qingyang Wu Skills & Research Interests

Natural Language Processing

Artificial Intelligence

Text Generation

Top articles of Qingyang Wu

DiactTOD: Learning generalizable latent dialogue acts for controllable task-oriented dialogue systems

arXiv preprint arXiv:2308.00878

2023/8/1

Using textual interface to align external knowledge for end-to-end task-oriented dialogue systems

arXiv preprint arXiv:2305.13710

2023/5/23

ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes

arXiv preprint arXiv:2304.04321

2023/4/9

FaceChat: An Emotion-Aware Face-to-face Dialogue Framework

arXiv preprint arXiv:2303.07316

2023/3/8

Gligen: Open-set grounded text-to-image generation

CVPR 2023

2023/1/17

Krls: Improving end-to-end response generation in task oriented dialog with reinforced keywords learning

arXiv preprint arXiv:2211.16773

2022/11/30

DG2: Data augmentation through document grounded dialogue generation

arXiv preprint arXiv:2112.08342

2021/12/15

PRAL: A tailored pre-training model for task-oriented dialog generation

2021/8

Perception score: A learned metric for open-ended text generation evaluation

Proceedings of the AAAI Conference on Artificial Intelligence

2021/5/18

Textgail: Generative adversarial imitation learning for text generation

Proceedings of the AAAI Conference on Artificial Intelligence

2021/5/18

Memformer: A memory-augmented transformer for sequence modeling

arXiv preprint arXiv:2010.06891

2020/10/14

Importance-aware learning for neural headline editing

Proceedings of the AAAI Conference on Artificial Intelligence

2020/4/3

See List of Professors in Qingyang Wu University(Columbia University in the City of New York)

Co-Authors

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