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Yan Zeng
Yan Zeng
ByteDance, Research
Verified email at bytedance.com - Homepage
Title
Cited by
Cited by
Year
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
Y Zeng, X Zhang, H Li
arXiv preprint arXiv:2111.08276, 2021
2082021
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
Y Zeng, H Zhang, J Zheng, J Xia, G Wei, Y Wei, Y Zhang, T Kong
arXiv preprint arXiv:2307.02469, 2023
342023
X-VLM: All-In-One Pre-trained Model For Vision-Language Tasks
Y Zeng, X Zhang, H Li, J Wang, J Zhang, W Zhou
arXiv preprint arXiv:2211.12402, 2022
322022
Jointly Optimizing State Operation Prediction and Value Generation for Dialogue State Tracking
Y Zeng, JY Nie
arXiv preprint arXiv:2010.14061, 2020
21*2020
Make Pixels Dance: High-Dynamic Video Generation
Y Zeng, G Wei, J Zheng, J Zou, Y Wei, Y Zhang, H Li
arXiv preprint arXiv:2311.10982, 2023
172023
A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation
Y Zeng, JY Nie
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
15*2021
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
Y Zeng, W Zhou, A Luo, X Zhang
arXiv preprint arXiv:2206.00621, 2022
142022
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models
W Zhou, Y Zeng, S Diao, X Zhang
arXiv preprint arXiv:2205.15237, 2022
112022
Multi-domain dialogue state tracking based on state graph
Y Zeng, JY Nie
arXiv preprint arXiv:2010.11137, 2020
112020
An Investigation of Suitability of Pre-Trained Language Models for Dialogue Generation–Avoiding Discrepancies
Y Zeng, JY Nie
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021
8*2021
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