Imagen de Portada

LLMs Show No Signs Of Individuated Metacognition

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Moran, M., Whiting, Mark
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evidence for Limited Metacognition in LLMs
por: Ackerman, Christopher
Publicado: (2025)

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
por: Didolkar, Aniket, et al.
Publicado: (2024)

LEAP: Trajectory-Level Evaluation of LLMs in Iterative Scientific Design
por: Zhang, Marilyn, et al.
Publicado: (2026)

LLMs Know When They Know, but Do Not Act on It: A Metacognitive Harness for Test-time Scaling
por: Cao, Qi, et al.
Publicado: (2026)

Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
por: Zhou, Huilin, et al.
Publicado: (2026)

The Metacognitive Probe: Five Behavioural Calibration Diagnostics for LLMs
por: Oliveira, Rafael C. T.
Publicado: (2026)

Enhancing LLM Metacognition via Cognitive Pairwise Training
por: Li, Weitao, et al.
Publicado: (2026)

Metacognitive Sensitivity for Test-Time Dynamic Model Selection
por: Trinh, Le Tuan Minh, et al.
Publicado: (2025)

Knowledge-Centric Metacognitive Learning
por: Kumar, Arun, et al.
Publicado: (2024)

CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs
por: Li, Haoxi, et al.
Publicado: (2025)

G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
por: Aghasi, Alireza, et al.
Publicado: (2025)

Confidence Freeze: Early Success Induces a Metastable Decoupling of Metacognition and Behaviour
por: Zhang, Zhipeng, et al.
Publicado: (2026)

Fat-Cat: Document-Driven Metacognitive Multi-Agent System for Complex Reasoning
por: Yang, Tong, et al.
Publicado: (2026)

Early Signs of Steganographic Capabilities in Frontier LLMs
por: Zolkowski, Artur, et al.
Publicado: (2025)

Cog-Rethinker: Hierarchical Metacognitive Reinforcement Learning for LLM Reasoning
por: Sun, Zexu, et al.
Publicado: (2025)

Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
por: Didolkar, Aniket, et al.
Publicado: (2025)

SCI: A Metacognitive Control for Signal Dynamics
por: Meesala, Vishal Joshua
Publicado: (2025)

Signs of the Past, Patterns of the Present: On the Automatic Classification of Old Babylonian Cuneiform Signs
por: Verwimp, Eli, et al.
Publicado: (2025)

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs
por: Gu, Gyeongmin, et al.
Publicado: (2024)

Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation
por: Chen, Hang, et al.
Publicado: (2024)

MIRROR: A Hierarchical Benchmark for Metacognitive Calibration in Large Language Models
por: Wang, Jason Z
Publicado: (2026)

Competence-Aware AI Agents with Metacognition for Unknown Situations and Environments (MUSE)
por: Valiente, Rodolfo, et al.
Publicado: (2024)

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
por: Cheng, Wenhua, et al.
Publicado: (2023)

Adversarial Robustness of Link Sign Prediction in Signed Graphs
por: Zhou, Jialong, et al.
Publicado: (2024)

The Metacognitive Monitoring Battery: A Cross-Domain Benchmark for LLM Self-Monitoring
por: Cacioli, Jon-Paul
Publicado: (2026)

Laplace-HDC: Understanding the geometry of binary hyperdimensional computing
por: Pourmand, Saeid, et al.
Publicado: (2024)

Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation
por: Denton, Remi, et al.
Publicado: (2021)

Masks, Signs, And Learning Rate Rewinding
por: Gadhikar, Advait, et al.
Publicado: (2024)

Find A Winning Sign: Sign Is All We Need to Win the Lottery
por: Oh, Junghun, et al.
Publicado: (2025)

Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs
por: Janjua, Muhammad Kamran, et al.
Publicado: (2026)

Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation
por: Rafiq, Riyad Bin, et al.
Publicado: (2024)

Show Your Work with Confidence: Confidence Bands for Tuning Curves
por: Lourie, Nicholas, et al.
Publicado: (2023)

EXAQ: Exponent Aware Quantization For LLMs Acceleration
por: Shkolnik, Moran, et al.
Publicado: (2024)

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
por: Jin, Richeng, et al.
Publicado: (2020)

Sign Rank Limitations for Inner Product Graph Decoders
por: Lee, Su Hyeong, et al.
Publicado: (2024)

Self-Explainable Graph Transformer for Link Sign Prediction
por: Li, Lu, et al.
Publicado: (2024)

Distributed Sign Momentum with Local Steps for Training Transformers
por: Yu, Shuhua, et al.
Publicado: (2024)

KAN KAN Buff Signed Graph Neural Networks?
por: Shebaro, Muhieddine, et al.
Publicado: (2025)

Mitigating Degree Bias in Signed Graph Neural Networks
por: He, Fang, et al.
Publicado: (2024)

Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability
por: Liang, Yuheng, et al.
Publicado: (2026)