Cover Image

Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ji-An, Li, Xiong, Hua-Dong, Wilson, Robert C., Mattar, Marcelo G., Benna, Marcus K.
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning without Weight Symmetry
by: Ji-An, Li, et al.
Published: (2024)

Large language models reorganize representational geometry during in-context learning
by: Xiong, Hua-Dong, et al.
Published: (2026)

Large Language Models Think Too Fast To Explore Effectively
by: Pan, Lan, et al.
Published: (2025)

Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models using Minimal Pairs
by: He, Linyang, et al.
Published: (2024)

Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior
by: Xie, Hanbo, et al.
Published: (2026)

Explanations of Large Language Models Explain Language Representations in the Brain
by: Rahimi, Maryam, et al.
Published: (2025)

Memory, Consciousness and Large Language Model
by: Li, Jitang, et al.
Published: (2024)

Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation
by: Liu, Xin, et al.
Published: (2025)

Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
by: Liu, Ryan, et al.
Published: (2026)

Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
by: Mischler, Gavin, et al.
Published: (2024)

Large Language Models Align with the Human Brain during Creative Thinking
by: Ismayilzada, Mete, et al.
Published: (2026)

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
by: Kumar, Sreejan, et al.
Published: (2024)

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
by: Pinier, Christopher, et al.
Published: (2025)

A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
by: Harrison, Rachel M.
Published: (2024)

One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models
by: Tang, Changli, et al.
Published: (2026)

Metacognition is all you need? Using Introspection in Generative Agents to Improve Goal-directed Behavior
by: Toy, Jason, et al.
Published: (2024)

Hán Dān Xué Bù (Mimicry) or Qīng Chū Yú Lán (Mastery)? A Cognitive Perspective on Reasoning Distillation in Large Language Models
by: Hu, Yueqing, et al.
Published: (2026)

Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners
by: Csaba, Botos, et al.
Published: (2026)

Neural Erosion: Emulating Controlled Neurodegeneration and Aging in AI Systems
by: Alexos, Antonios, et al.
Published: (2024)

Beyond Individuals: Collective Predictive Coding for Memory, Attention, and the Emergence of Language
by: Taniguchi, Tadahiro
Published: (2025)

Adversarial construction as a potential solution to the experiment design problem in large task spaces
by: Godara, Prakhar, et al.
Published: (2026)

A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings
by: Guo, Yi, et al.
Published: (2025)

The age of spiritual machines: Language quietus induces synthetic altered states of consciousness in artificial intelligence
by: Skipper, Jeremy I, et al.
Published: (2024)

Investigating the Timescales of Language Processing with EEG and Language Models
by: Turco, Davide, et al.
Published: (2024)

Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text
by: Luo, Xiaoliang, et al.
Published: (2024)

Self-Attention Limits Working Memory Capacity of Transformer-Based Models
by: Gong, Dongyu, et al.
Published: (2024)

Large Language Model-based FMRI Encoding of Language Functions for Subjects with Neurocognitive Disorder
by: Wang, Yuejiao, et al.
Published: (2024)

Matching domain experts by training from scratch on domain knowledge
by: Luo, Xiaoliang, et al.
Published: (2024)

"Dark Triad" Model Organisms of Misalignment: Narrow Fine-Tuning Mirrors Human Antisocial Behavior
by: Lulla, Roshni, et al.
Published: (2026)

Neuropsychology of AI: Relationship Between Activation Proximity and Categorical Proximity Within Neural Categories of Synthetic Cognition
by: Pichat, Michael, et al.
Published: (2024)

Effort as Ceiling, Not Dial: Reasoning Budget Does Not Modulate Cognitive Cost Alignment Between Humans and Large Reasoning Models
by: Hu, Yueqing, et al.
Published: (2026)

REMI: Reconstructing Episodic Memory During Internally Driven Path Planning
by: Wang, Zhaoze, et al.
Published: (2025)

The Prompting Brain: Neurocognitive Markers of Expertise in Guiding Large Language Models
by: Al-Khalifa, Hend, et al.
Published: (2025)

Meow-Omni 1: A Multimodal Large Language Model for Feline Ethology
by: Hu, Jucheng, et al.
Published: (2026)

Training-Driven Representational Geometry Modularization Predicts Brain Alignment in Language Models
by: Liu, Yixuan, et al.
Published: (2026)

AI-Enhanced High-Density NIRS Patch for Real-Time Brain Layer Oxygenation Monitoring in Neurological Emergencies
by: Ji, Minsu, et al.
Published: (2025)

Mind the Gap: Aligning the Brain with Language Models Requires a Nonlinear and Multimodal Approach
by: Han, Danny Dongyeop, et al.
Published: (2025)

When a Man Says He Is Pregnant: Event-related Potential Evidence for a Rational Account of Speaker-contextualized Language Comprehension
by: Wu, Hanlin, et al.
Published: (2024)

Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker
by: Zhang, Yuhong, et al.
Published: (2025)

The Application of Large Language Models on Major Depressive Disorder Support Based on African Natural Products
by: Zou, Linyan
Published: (2025)