Exploring the Limits of Large Language Models’ Ability to Distinguish Between Objects
This paper explores the capability of large language models (LLMs) to accurately classify objects in challenging visual scenarios, focusing on two main tasks: differentiating real objects from artificial replicas and distinguishing human figures from human-like entities (e.g., mannequins, banners)....
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/9/4620 |
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