Cover Image

Improving Metacognition and Uncertainty Communication in Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Steyvers, Mark, Belem, Catarina, Smyth, Padhraic
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Perceptions of Linguistic Uncertainty by Language Models and Humans
by: Belem, Catarina G, et al.
Published: (2024)

What Large Language Models Know and What People Think They Know
by: Steyvers, Mark, et al.
Published: (2024)

The Impact of AI Usage and Informativeness on Skill Development in Logical Reasoning
by: Wu, Shang, et al.
Published: (2026)

Metacognition and Uncertainty Communication in Humans and Large Language Models
by: Steyvers, Mark, et al.
Published: (2025)

Bayesian Evaluation of Large Language Model Behavior
by: Longjohn, Rachel, et al.
Published: (2025)

Bayesian Inference for Correlated Human Experts and Classifiers
by: Kelly, Markelle, et al.
Published: (2025)

Beyond Accuracy: How AI Metacognitive Sensitivity improves AI-assisted Decision Making
by: Li, ZhaoBin, et al.
Published: (2025)

Metacognitive Prompting Improves Understanding in Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
by: Wang, Xinyi, et al.
Published: (2023)

Metacognitive Myopia in Large Language Models
by: Scholten, Florian, et al.
Published: (2024)

Anomaly Detection of Tabular Data Using LLMs
by: Li, Aodong, et al.
Published: (2024)

Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
by: Elenjical, Abraham Paul, et al.
Published: (2026)

Are Models Biased on Text without Gender-related Language?
by: Belém, Catarina G, et al.
Published: (2024)

Learning to Assign Prediction Tasks to Agents with Capacity Constraints
by: Wu, Shang, et al.
Published: (2026)

Readability Reconsidered: A Cross-Dataset Analysis of Reference-Free Metrics
by: Belem, Catarina G, et al.
Published: (2025)

DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics
by: Yoffe, Luke, et al.
Published: (2024)

Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
by: Ji-An, Li, et al.
Published: (2025)

Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
by: Tomani, Christian, et al.
Published: (2024)

Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is Missing
by: Ulmer, Dennis, et al.
Published: (2025)

Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model
by: Ben-Atya, Hadas, et al.
Published: (2025)

Context-Aware Pragmatic Metacognitive Prompting for Sarcasm Detection
by: Iskandardinata, Michael, et al.
Published: (2025)

Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
by: Grewal, Yashvir S., et al.
Published: (2024)

Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models
by: Sivaprasad, Adarsa, et al.
Published: (2024)

Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging
by: Dmonte, Alphaeus, et al.
Published: (2026)

PRISM-MCTS: Learning from Reasoning Trajectories with Metacognitive Reflection
by: Cheng, Siyuan, et al.
Published: (2026)

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
by: Lee, JoonHo, et al.
Published: (2024)

Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
by: Li, ZhaoBin, et al.
Published: (2026)

An Empirical Analysis of Uncertainty in Large Language Model Evaluations
by: Xie, Qiujie, et al.
Published: (2025)

Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals
by: Chen, Sirui, et al.
Published: (2026)

Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach
by: Tan, Zhen, et al.
Published: (2024)

Robust Search with Uncertainty-Aware Value Models for Language Model Reasoning
by: Yu, Fei, et al.
Published: (2025)

Semantic Probabilistic Control of Language Models
by: Ahmed, Kareem, et al.
Published: (2025)

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
by: Zhou, Kevin, et al.
Published: (2025)

Can Large Language Models Express Uncertainty Like Human?
by: Tao, Linwei, et al.
Published: (2025)

SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
by: Gao, Xiang, et al.
Published: (2024)

Large Language Model Recall Uncertainty is Modulated by the Fan Effect
by: Roberts, Jesse, et al.
Published: (2024)

Uncertainty Estimation of Large Language Models in Medical Question Answering
by: Wu, Jiaxin, et al.
Published: (2024)

Before You Interpret the Profile: Validity Scaling for LLM Metacognitive Self-Report
by: Cacioli, Jon-Paul
Published: (2026)

The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models
by: Liu, Xinyi, et al.
Published: (2025)

Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction
by: Han, Kaiqiao, et al.
Published: (2024)