Summary of Large Language Models and Cognitive Science: a Comprehensive Review Of Similarities, Differences, and Challenges, by Qian Niu et al.
Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
by Qian Niu, Junyu Liu, Ziqian Bi, Pohsun Feng, Benji Peng, Keyu Chen, Ming Li, Lawrence KQ Yan, Yichao Zhang, Caitlyn Heqi Yin, Cheng Fei, Tianyang Wang, Yunze Wang, Silin Chen, Ming Liu
First submitted to arxiv on: 4 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A comprehensive review explores the intersection of Large Language Models (LLMs) and cognitive science, examining similarities and differences between LLMs and human cognitive processes. The paper analyzes methods for evaluating LLMs’ cognitive abilities and discusses their potential as cognitive models. Applications of LLMs in various cognitive fields are highlighted, revealing insights gained for cognitive science research. The review assesses cognitive biases and limitations of LLMs, along with proposed methods for improving their performance. The integration of LLMs with cognitive architectures is examined, revealing promising avenues for enhancing artificial intelligence (AI) capabilities. Key challenges and future research directions are identified, emphasizing the need for continued refinement of LLMs to better align with human cognition. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models and cognitive science meet in this review! It’s like asking: “Can AI really think like humans?” The paper looks at how these models work and what they can do. It also talks about how we evaluate them and what we’ve learned so far from using them. We’ll see some cool examples of where LLMs are used, and even learn about their limitations. |
