Fetching the paper…
Reading the bibliography…
Autoregressive Visual Language Models (VLMs) showcase impressive few-shot learning capabilities in a multimodal context.
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Young, P., Lai, A., Hodosh, M., and Hockenmaier, J · 2014
Earlier work this paper cites.
Vqa: Visual question answering
Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C. L., and Parikh, D · 2015
Earlier work this paper cites.
Microsoft coco captions: Data collection and evaluation server
Chen, X., Fang, H., Lin, T.-Y., Vedantam, R., Gupta, S., Dollár, P., and Zitnick, C. L · 2015
Earlier work this paper cites.
Improved deep metric learning with multi-class n-pair loss objective
Sohn, K · 2016
Earlier work this paper cites.
Targeted backdoor attacks on deep learning systems using data poisoning
Chen, X., Liu, C., Li, B., Lu, K., and Song, D · 2017
Earlier work this paper cites.
Badnets: Identifying vulnerabilities in the machine learning model supply chain
Gu, T., Dolan-Gavitt, B., and Garg, S · 2017
Earlier work this paper cites.
Decoupled weight decay regularization
Loshchilov, I. and Hutter, F · 2017
Earlier work this paper cites.
Minigpt-4: Enhancing vision-language understanding with advanced large language models
Zhu, D., Chen, J., Shen, X., Li, X., and Elhoseiny, M · 2017
Earlier work this paper cites.
Transferable adversarial attacks for image and video object detection
Wei, X., Liang, S., Chen, N., and Cao, X · 2018
Earlier work this paper cites.
A new backdoor attack in cnns by training set corruption without label poisoning
Barni, M., Kallas, K., and Tondi, B · 2019
Earlier work this paper cites.
A comprehensive survey of deep learning for image captioning
Hossain, M. Z., Sohel, F., Shiratuddin, M. F., and Laga, H · 2019
Earlier work this paper cites.
Perceptual-sensitive gan for generating adversarial patches
Liu, A., Liu, X., Fan, J., Ma, Y., Zhang, A., Xie, H., and Tao, D · 2019
Earlier work this paper cites.
Efficient adversarial attacks for visual object tracking
Liang, S., Wei, X., Yao, S., and Cao, X · 2020
Earlier work this paper cites.
High-performance large-scale image recognition without normalization
Brock, A., De, S., Smith, S. L., and Simonyan, K · 2021
Cited alongside, same era.
Poisoning and backdooring contrastive learning
Carlini, N. and Terzis, A · 2021
Cited alongside, same era.
Invisible backdoor attack with sample-specific triggers
Li, Y., Li, Y., Wu, B., Li, L., He, R., and Lyu, S · 2021
Cited alongside, same era.
Generate more imperceptible adversarial examples for object detection
Liang, S., Wei, X., and Cao, X · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al · 2021
Cited alongside, same era.
Dual attention suppression attack: Generate adversarial camouflage in physical world
Openflamingo: An open-source framework for training large autoregressive vision-language models
Awadalla, A., Gao, I., Gardner, J., Hessel, J., Hanafy, Y., Zhu, W., Marathe, K., Bitton, Y., Gadre, S., Sagawa, S., et al · 2023
Later among the works it cites.
Cleanclip: Mitigating data poisoning attacks in multimodal contrastive learning
Bansal, H., Singhi, N., Yang, Y., Yin, F., Grover, A., and Chang, K.-W · 2023
Later among the works it cites.
Backdooring multimodal learning
Han, X., Wu, Y., Zhang, Q., Zhou, Y., Xu, Y., Qiu, H., Xu, G., and Zhang, T · 2023
Later among the works it cites.
Generating transferable 3d adversarial point cloud via random perturbation factorization
He, B., Liu, J., Li, Y., Liang, S., Li, J., Jia, X., and Cao, X · 2023
Later among the works it cites.
Introducing mpt-7b: A new standard for open-source, commercially usable llms, 2023
MosaicML · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Wang, J., Liu, A., Yin, Z., Liu, S., Tang, S., and Liu, X · 2021
Cited alongside, same era.
Flamingo: a visual language model for few-shot learning
Alayrac, J.-B., Donahue, J., Luc, P., Miech, A., Barr, I., Hasson, Y., Lenc, K., Mensch, A., Millican, K., Reynolds, M., et al · 2022
Cited alongside, same era.
Scaling instruction-finetuned language models
Chung, H. W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, Y., Wang, X., Dehghani, M., Brahma, S., et al · 2022
Cited alongside, same era.
Training compute-optimal large language models
Hoffmann, J., Borgeaud, S., Mensch, A., Buchatskaya, E., Cai, T., Rutherford, E., Casas, D. d. L., Hendricks, L. A., Welbl, J., Clark, A., et al · 2022
Cited alongside, same era.
Backdoor learning: A survey
Li, Y., Jiang, Y., Li, Z., and Xia, S.-T · 2022
Cited alongside, same era.
Dual-key multimodal backdoors for visual question answering
Walmer, M., Sikka, K., Sur, I., Shrivastava, A., and Jha, S · 2022
Cited alongside, same era.
Backdoorbench: A comprehensive benchmark of backdoor learning
Wu, B., Chen, H., Zhang, M., Zhu, Z., Wei, S., Yuan, D., and Shen, C · 2022
Cited alongside, same era.
Gpt-4 technical report
OpenAI · 2023
Later among the works it cites.
Improving robust fariness via balance adversarial training
Sun, C., Xu, C., Yao, C., Liang, S., Wu, Y., Liang, D., Liu, X., and Liu, A · 2023
Later among the works it cites.
Releasing 3b and 7b redpajama-incite family of models including base, instruction-tuned & chat models
Together.xyz · 2023
Later among the works it cites.
Poisoning language models during instruction tuning
Wan, A., Wallace, E., Shen, S., and Klein, D · 2023
Later among the works it cites.
Instructions as backdoors: Backdoor vulnerabilities of instruction tuning for large language models
Xu, J., Ma, M. D., Wang, F., Xiao, C., and Chen, M · 2023
Later among the works it cites.
Instruction tuning for large language models: A survey
Zhang, S., Dong, L., Li, X., Zhang, S., Sun, X., Wang, S., Li, J., Hu, R., Zhang, T., Wu, F., et al · 2023
Later among the works it cites.
Poisoned forgery face: Towards backdoor attacks on face forgery detection
Liang, J., Liang, S., Liu, A., Jia, X., Kuang, J., and Cao, X · 2024
Closest in time.