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There is increasing interest in tracking the capabilities of general intelligence foundation models.
" general intelligence" objectively determined and measured
C. Spearman · 1961
Earlier work this paper cites.
People’s conceptions of intelligence
R. J. Sternberg, B. E. Conway, J. L. Ketron, and M. Bernstein · 1981
Earlier work this paper cites.
Correlations of mental tests with each other and with cognitive variables are highest for low iq groups
D. K. Detterman and M. H. Daniel · 1989
Earlier work this paper cites.
Intelligence: knowns and unknowns
U. Neisser, G. Boodoo, T. J. Bouchard Jr, A. W. Boykin, N. Brody, S. J. Ceci, D. F. Halpern, J. C. Loehlin, R. Perloff, R. J. Sternberg, et al · 1996
Earlier work this paper cites.
Human evolution, behavior, and intelligence: The g factor: The science of mental ability
A. R. Jensen · 1998
Earlier work this paper cites.
WAIS-IV Administration and Scoring Manual
D. Wechsler · 2008
Earlier work this paper cites.
Wais-iv and clinical validation of the four-and five-factor interpretative approaches
L. G. Weiss, T. Z. Keith, J. Zhu, and H. Chen · 2013
Earlier work this paper cites.
Scaling laws for neural language models
J. Kaplan, S. McCandlish, T. Henighan, T. B. Brown, B. Chess, R. Child, S. Gray, A. Radford, J. Wu, and D. Amodei · 2020
Earlier work this paper cites.
J. Achiam, S. Adler, S. Agarwal, L. Ahmad, I. Akkaya, F. L. Aleman, D. Almeida, J. Altenschmidt, S. Altman, S. Anadkat, et al · 2023
Earlier work this paper cites.
Llark: A multimodal foundation model for music
J. Gardner, S. Durand, D. Stoller, and R. M. Bittner · 2023
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Large-scale text-to-image generation models for visual artists’ creative works
H.-K. Ko, G. Park, H. Jeon, J. Jo, J. Kim, and J. Seo · 2023
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Llm is like a box of chocolates: the non-determinism of chatgpt in code generation
S. Ouyang, J. M. Zhang, M. Harman, and M. Wang · 2023
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Bridging the gulf of envisioning: Cognitive design challenges in llm interfaces
H. Subramonyam, C. L. Pondoc, C. Seifert, M. Agrawala, and R. Pea · 2023
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Managing extreme ai risks amid rapid progress
Y. Bengio, G. Hinton, A. Yao, D. Song, P. Abbeel, T. Darrell, Y. N. Harari, Y.-Q. Zhang, L. Xue, S. Shalev-Shwartz, et al · 2024
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What is the visual cognition gap between humans and multimodal llms?
X. Cao, B. Lai, W. Ye, Y. Ma, J. Heintz, J. Chen, J. Cao, and J. M. Rehg · 2024
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Openagi: When llm meets domain experts
Y. Ge, W. Hua, K. Mei, J. Tan, S. Xu, Z. Li, Y. Zhang, et al · 2024
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Evidence of interrelated cognitive-like capabilities in large language models: Indications of artificial general intelligence or achievement?
D. Ilić and G. E. Gignac · 2024
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Rtllm: An open-source benchmark for design rtl generation with large language model
Y. Lu, S. Liu, Q. Zhang, and Z. Xie · 2024
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The association between intelligence and face processing abilities: A conceptual and meta-analytic review
D. L. Walker, R. Palermo, Z. Callis, and G. E. Gignac · 2023
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Next-gpt: Any-to-any multimodal llm
S. Wu, H. Fei, L. Qu, W. Ji, and T.-S. Chua · 2023
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A survey of large language models
W. X. Zhao, K. Zhou, J. Li, T. Tang, X. Wang, Y. Hou, Y. Min, B. Zhang, J. Zhang, Z. Dong, Y. Du, C. Yang, Y. Chen, Z. Chen, J. Jiang, R. Ren, Y. Li, X. Tang, Z. Liu, P. Liu, J.-Y. Nie, and J.-R. Wen · 2023
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Efficiently measuring the cognitive ability of llms: An adaptive testing perspective
Y. Zhuang, Q. Liu, Y. Ning, W. Huang, R. Lv, Z. Huang, G. Zhao, Z. Zhang, Q. Mao, S. Wang, et al · 2023
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S. S. Nath, P. Dayan, and C. Stevenson · 2024
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Re-task: Revisiting llm tasks from capability, skill, and knowledge perspectives
Z. Wang, S. Zhao, Y. Wang, H. Huang, J. Shi, S. Xie, Z. Wang, Y. Zhang, H. Li, and J. Yan · 2024
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Talk2care: An llm-based voice assistant for communication between healthcare providers and older adults
Z. Yang, X. Xu, B. Yao, E. Rogers, S. Zhang, S. Intille, N. Shara, G. G. Gao, and D. Wang · 2024
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Llm as a mastermind: A survey of strategic reasoning with large language models
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