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# Beyond representational alignment with brain-guided language models for robust reasoning
Derived from arXiv:2606.11893 - Beyond representational alignment with brain-guided language models for robust reasoning
## Core Concept
The correspondence between large language models (LLMs) and the neural mechanisms underlying human higher-order cognition remains insufficiently characterized. Given that language and reasoning in the human brain appear dissociable, an open question is whether LLMs align with neural signals from reasoning-related regions and whether such signals can improve them. Here, focusing on deductive reasoning, we show that LLM internal representations are not only partially aligned with task-fMRI activit...
## Key Insights
- Derived from arXiv:2606.11893
- Published: 2026-06-10
- Utility Score: 1.00
- Authors: Mingqing Xiao, Kai Du, Zhouchen Lin
## Activation
beyond-representational-alignment-with-brain-guide, 2606.11893
## References
- arXiv: https://arxiv.org/abs/2606.11893
