Evaluating the Intelligence of large language models: A comparative study using verbal and visual IQ tests
Large language models (LLMs) excel on many specialized benchmarks, yet their general-reasoning ability remains opaque. We therefore test 18 models – including GPT-4, Claude 3 and Gemini Pro – on a 14-section IQ suite spanning verbal, numerical and visual puzzles and add a “multi-agent reflection” va...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Computers in Human Behavior: Artificial Humans |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949882125000544 |
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