Yan Zeng

According to our database, Yan Zeng authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

X$^{2}$2-VLM: All-in-One Pre-Trained Model for Vision-Language Tasks.

Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

2023

Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks.

Xinsong Zhang, Yan Zeng, Jipeng Zhang, Hang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning.

Tiannan Wang, Wangchunshu Zhou, Yan Zeng, Xinsong Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training.

Yan Zeng, Wangchunshu Zhou, Ao Luo, Ziming Cheng, Xinsong Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

X²-VLM: All-In-One Pre-trained Model For Vision-Language Tasks.

Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou

CoRR, 2022

Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training.

Yan Zeng, Wangchunshu Zhou, Ao Luo, Xinsong Zhang

CoRR, 2022

VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models.

Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang

CoRR, 2022

VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training.

Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang

Proceedings of the International Conference on Machine Learning, 2022

Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts.

Yan Zeng, Xinsong Zhang, Hang Li

Proceedings of the International Conference on Machine Learning, 2022

2021

A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation.

Yan Zeng, Jian-Yun Nie

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

An Investigation of Suitability of Pre-Trained Language Models for Dialogue Generation - Avoiding Discrepancies.

Yan Zeng, Jian-Yun Nie

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Multi-Domain Dialogue State Tracking - A Purely Transformer-Based Generative Approach.

Yan Zeng, Jian-Yun Nie

CoRR, 2020

Open-Domain Dialogue Generation Based on Pre-trained Language Models.

Yan Zeng, Jian-Yun Nie

CoRR, 2020

Generalized Conditioned Dialogue Generation Based on Pre-trained Language Model.

Yan Zeng, Jian-Yun Nie

CoRR, 2020

Multi-Domain Dialogue State Tracking based on State Graph.

Yan Zeng, Jian-Yun Nie

CoRR, 2020