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2020 – today
- 2024
[c1]Meiqi Sun, Zhonghan Zhao, Wenhao Chai, Hanjun Luo, Shidong Cao, Yanting Zhang, Jenq-Neng Hwang, Gaoang Wang:
UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning. AAAI 2024: 5008-5016- [i5]Hanjun Luo, Ziye Deng, Ruizhe Chen, Zuozhu Liu:
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models. CoRR abs/2405.17814 (2024) - [i4]Hanjun Luo, Haoyu Huang, Ziye Deng, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu:
BIGbench: A Unified Benchmark for Social Bias in Text-to-Image Generative Models Based on Multi-modal LLM. CoRR abs/2407.15240 (2024) - [i3]Hanjun Luo, Ziye Deng, Haoyu Huang, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu:
VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary. CoRR abs/2407.19524 (2024) - [i2]Hanjun Luo, Yingbin Jin, Xuecheng Liu, Tong Shang, Ruizhe Chen, Zuozhu Liu:
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models. CoRR abs/2409.11022 (2024) - 2023
- [i1]Meiqi Sun, Zhonghan Zhao, Wenhao Chai, Hanjun Luo, Shidong Cao, Yanting Zhang, Jenq-Neng Hwang, Gaoang Wang:
UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning. CoRR abs/2308.09953 (2023)
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