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With the advancement of generation models, AI-generated content (AIGC) is becoming more realistic, flooding the Internet.
Language Models are Few-Shot Learners
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Comparing fair ranking metrics
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Cognitive biases in search: a review and reflection of cognitive biases in Information Retrieval. In Proceedings of the 2021 conference on human information interaction and retrieval . 27–37
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Exploring gender biases in information retrieval relevance judgement datasets. In Advances in Information Retrieval: 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28–April 1, 2021, Proceedings, Part II 43 . Springer, 216–224
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Improving image generation with better captions
James Betker, Gabriel Goh, Li Jing, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, et al · 2023
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Diffusion models in vision: A survey
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LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts
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Learning the best pooling strategy for visual semantic embedding. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 15789–15798
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Toward a fairer information retrieval system
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Addressing bias and fairness in search systems. In Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval . 2643–2646
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Scaling up visual and vision-language representation learning with noisy text supervision. In International conference on machine learning . PMLR, 4904–4916
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High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Flava: A foundational language and vision alignment model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 15638–15650
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, and Douwe Kiela. 2022 · 2022
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Image as a foreign language: Beit pretraining for all vision and vision-language tasks
Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, et al · 2022
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Match-Prompt: Improving Multi-Task Generalization Ability for Neural Text Matching via Prompt Learning. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (Atlanta, GA, USA) (CIKM ’22) . Association for Computing Machinery, New York, NY, USA, 2290–2300
Shicheng Xu, Liang Pang, Huawei Shen, and Xueqi Cheng. 2022 · 2022
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Toxicity in chatgpt: Analyzing persona-assigned language models
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, and Karthik Narasimhan. 2023 · 2023
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Hans WA Hanley and Zakir Durumeric. 2023 · 2023
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Disinformation Detection: An Evolving Challenge in the Age of LLMs
Bohan Jiang, Zhen Tan, Ayushi Nirmal, and Huan Liu. 2023 · 2023
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The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, and Ross Anderson. 2023 · 2023
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AI model GPT-3 (dis) informs us better than humans
Giovanni Spitale, Nikola Biller-Andorno, and Federico Germani. 2023 · 2023
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Fake news detectors are biased against texts generated by large language models
Jinyan Su, Terry Yue Zhuo, Jonibek Mansurov, Di Wang, and Preslav Nakov. 2023 · 2023
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Ai-generated content (aigc): A survey
Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, and Hong Lin. 2023 · 2023
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Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, and Ming-Hsuan Yang. 2023 · 2023
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Exploring ai ethics of chatgpt: A diagnostic analysis
Terry Yue Zhuo, Yujin Huang, Chunyang Chen, and Zhenchang Xing. 2023 · 2023
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