Chaoya Jiang

Orcid: 0009-0009-7282-159X

According to our database1, Chaoya Jiang authored at least 14 papers between 2020 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
CoRR, 2024

Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models.
CoRR, 2024

TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model.
CoRR, 2023

BUS: Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.
CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
CoRR, 2023

Vision Langauge Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.
CoRR, 2023

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploiting Pseudo Image Captions for Multimodal Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020
Learn A Robust Representation For Cover Song Identification Via Aggregating Local And Global Music Temporal Context.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Similarity Learning For Cover Song Identification Using Cross-Similarity Matrices of Multi-Level Deep Sequences.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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