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In this paper, we study the harmlessness alignment problem of multimodal large language models (MLLMs).
2021
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Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., Sutskever, I.: Learning transferable visual models from natural language supervision. In: ICML. Proceedings of Machine Learning Research, vol. 139, pp. 8748–8763. PMLR (2021)
2021
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2022
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Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C.L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P.F., Leike, J., Lowe, R.: Training language models to follow instructions with human feedback. In: NeurIPS (2022)
2022
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2023
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2023
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2023
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2023
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2023
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Chiang, W.L., Li, Z., Lin, Z., Sheng, Y., Wu, Z., Zhang, H., Zheng, L., Zhuang, S., Zhuang, Y., Gonzalez, J.E., Stoica, I., Xing, E.P.: Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality (March 2023), https://lmsys.org/blog/2023-03-30-vicuna/
2023
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2023
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2023
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Ji, J., Liu, M., Dai, J., Pan, X., Zhang, C., Bian, C., Chen, B., Sun, R., Wang, Y., Yang, Y.: Beavertails: Towards improved safety alignment of LLM via a human-preference dataset. In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S. (eds.) Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)
2023
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2023
Cited alongside, same era.
2023
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Liu, H., Li, C., Wu, Q., Lee, Y.J.: Visual instruction tuning. CoRR abs/2304.08485
2023
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Wei, A., Haghtalab, N., Steinhardt, J.: Jailbroken: How does LLM safety training fail? In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M., Levine, S. (eds.) Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)
2023
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2023
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2023
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2023
Cited alongside, same era.
OpenAI: Gpt-4v(ision) system card (2023)
2023
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2023
Cited alongside, same era.
Schlarmann, C., Hein, M.: On the adversarial robustness of multi-modal foundation models. In: IEEE/CVF International Conference on Computer Vision, ICCV 2023 - Workshops, Paris, France, October 2-6, 2023. pp. 3679–3687. IEEE (2023)
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
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2023
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2023
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2023
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2023
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2023
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2024
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2024
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