How Good is Google Bard’s Visual Understanding? An Empirical Study on Open Challenges-Reference-Cited by-同舟云学术

How Good is Google Bard’s Visual Understanding? An Empirical Study on Open Challenges

Published:2023-08-30 Issue:5 Volume:20 Page:605-613
ISSN:2731-538X
Container-title:Machine Intelligence Research
language:en
Short-container-title:Mach. Intell. Res.

Author:

Qin Haotong^ORCID,Ji Ge-Peng^ORCID,Khan Salman^ORCID,Fan Deng-Ping^ORCID,Khan Fahad Shahbaz^ORCID,Gool Luc Van^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Computer Vision and Pattern Recognition,Modeling and Simulation,Signal Processing,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11633-023-1469-x.pdf

Reference16 articles.

1. R. Thoppilan, D. De Freitas, J. Hall, N. Shazeer, A. Kulshreshtha, H. T. Cheng, A. Jin, T. Bos, L. Baker, Y. Du, Y. G. Li, H. Lee, H. S. Zheng, A. Ghafouri, M. Menegali, Y. P. Huang, M. Krikun, D. Lepikhin, J. Qin, D. H. Chen, Y Z. Xu, Z F. Chen, A. Roberts, M. Bosma, V. Zhao, Y. Q. Zhou, C. C. Chang, I. Krivokon, W. Rusch, M. Pickett, P. Srinivasan, L. Man, K. Meier-Hellstern, M. R. Morris, T. Doshi, R. D. Santos, T. Duke, J. Soraker, B. Zevenbergen, V. Prabhakaran, M. Diaz, B. Hutchinson, K. Olson, A. Molina, E. Hoffman-John, J. Lee, L. Aroyo, R. Rajakumar, A. Butryna, M. Lamm, V. Kuzmina, J. Fenton, A. Cohen, R. Bernstein, R. Kurzweil, B. Aguera-Arcas, C. Cui, M. Croak, E. Chi, Q. Le. LaMDA: Language models for dialog applications. [Online], Available: https://arxiv.org/abs/2201.08239, 2022.

2. A. Chowdhery, S. Narang, J. Devlin, M. Bosma, G. Mishra, A. Roberts, P. Barham, H. W. Chung, C. Sutton, S. Gehrmann, P. Schuh, K. S. Shi, S. Tsvyashchenko, J. Maynez, A. Rao, P. Barnes, Y. Tay, N. Shazeer, V. Prabhakaran, E. Reif, N. Du, B. Hutchinson, R. Pope, J. Bradbury, J. Austin, M. Isard, G. Gur-Ari, P. C. Yin, T. Duke, A. Levskaya, S. Ghemawat, S. Dev, H. Michalewski, X. Garcia, V. Misra, K. Robinson, L. Fedus, D. Zhou, D. Ippolito, D. Luan, H. Lim, B. Zoph, A. Spiridonov, R. Sepassi, D. Dohan, S. Agrawal, M. Omernick, A. M. Dai, T. S. Pillai, M. Pellat, A. Lewkowycz, E. Moreira, R. Child, O. Polozov, K. Lee, Z. W. Zhou, X. Z. Wang, B. Saeta, M. Diaz, O. Firat, M. Catasta, J. Wei, K. Meier-Hellstern, D. Eck, J. Dean, S. Petrov, N. Fiedel. PaLM: Scaling language modeling with pathways. [Online], Available: https://arxiv.org/abs/2204.02311, 2022.

3. OpenAI. GPT-4 technical report. [Online], Available: https://arxiv.org/abs/2303.08774, 2023

4. Microsoft. Bing chat enterprise announced, multimodal visual search rolling out to bing chat, [Online], Available: https://blogs.bing.com/search/july-2023/Bing-Chat-Enterprise-announced,-multimodal-Visual-Search-rolling-out-to-Bing-Chat, 2023.

5. LLaVA. LLaVA-Bench, [Online], Available: https://github.com/haotian-liu/LLaVA/blob/main/docs/LLaVA_Bench.md, 2023.

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