A Review of Incorporating Psychological Theories in LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914275984932864 |
|---|---|
| author | Liu, Zizhou Gong, Ziwei Ai, Lin Hui, Zheng Chen, Run Leach, Colin Wayne Greene, Michelle R. Hirschberg, Julia |
| author_facet | Liu, Zizhou Gong, Ziwei Ai, Lin Hui, Zheng Chen, Run Leach, Colin Wayne Greene, Michelle R. Hirschberg, Julia |
| contents | Psychological insights have long shaped pivotal NLP breakthroughs, from attention mechanisms to reinforcement learning and social modeling. As Large Language Models (LLMs) develop, there is a rising consensus that psychology is essential for capturing human-like cognition, behavior, and interaction. This paper reviews how psychological theories can inform and enhance stages of LLM development. Our review integrates insights from six subfields of psychology, including cognitive, developmental, behavioral, social, personality psychology, and psycholinguistics. With stage-wise analysis, we highlight current trends and gaps in how psychological theories are applied. By examining both cross-domain connections and points of tension, we aim to bridge disciplinary divides and promote more thoughtful integration of psychology into NLP research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_00003 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Review of Incorporating Psychological Theories in LLMs Liu, Zizhou Gong, Ziwei Ai, Lin Hui, Zheng Chen, Run Leach, Colin Wayne Greene, Michelle R. Hirschberg, Julia Computation and Language Psychological insights have long shaped pivotal NLP breakthroughs, from attention mechanisms to reinforcement learning and social modeling. As Large Language Models (LLMs) develop, there is a rising consensus that psychology is essential for capturing human-like cognition, behavior, and interaction. This paper reviews how psychological theories can inform and enhance stages of LLM development. Our review integrates insights from six subfields of psychology, including cognitive, developmental, behavioral, social, personality psychology, and psycholinguistics. With stage-wise analysis, we highlight current trends and gaps in how psychological theories are applied. By examining both cross-domain connections and points of tension, we aim to bridge disciplinary divides and promote more thoughtful integration of psychology into NLP research. |
| title | A Review of Incorporating Psychological Theories in LLMs |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2505.00003 |