Image de couverture de livre

The Dunning-Kruger Effect in Large Language Models: An Empirical Study of Confidence Calibration

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ghosh, Sudipta, Panday, Mrityunjoy
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Do Code Models Suffer from the Dunning-Kruger Effect?
par: Singh, Mukul, et autres
Publié: (2025)

Mind the Confidence Gap: Overconfidence, Calibration, and Distractor Effects in Large Language Models
par: Chhikara, Prateek
Publié: (2025)

Cubical Type Theoretic Navya-Nyāya
par: Panday, Mrityunjoy, et autres
Publié: (2026)

A Survey of Confidence Estimation and Calibration in Large Language Models
par: Geng, Jiahui, et autres
Publié: (2023)

LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models
par: Stengel-Eskin, Elias, et autres
Publié: (2024)

Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
par: Zhang, Chuang, et autres
Publié: (2026)

VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
par: Xiao, Wenyi, et autres
Publié: (2026)

Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models
par: Bani-Harouni, David, et autres
Publié: (2025)

Graph-based Confidence Calibration for Large Language Models
par: Li, Yukun, et autres
Publié: (2024)

Self-Anchoring Calibration Drift in Large Language Models: How Multi-Turn Conversations Reshape Model Confidence
par: Harshavardhan
Publié: (2026)

Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals
par: Torrielli, Federico, et autres
Publié: (2026)

Agentic Confidence Calibration
par: Zhang, Jiaxin, et autres
Publié: (2026)

How Confident Is the First Token? An Uncertainty-Calibrated Prompt Optimization Framework for Large Language Model Classification and Understanding
par: Chen, Wei, et autres
Publié: (2026)

An Empirical Study on Prompt Compression for Large Language Models
par: Zhang, Zheng, et autres
Publié: (2025)

Large Language Model Confidence Estimation via Black-Box Access
par: Pedapati, Tejaswini, et autres
Publié: (2024)

An Empirical Study of Many-to-Many Summarization with Large Language Models
par: Wang, Jiaan, et autres
Publié: (2025)

Closing the Confidence-Faithfulness Gap in Large Language Models
par: Miao, Miranda Muqing, et autres
Publié: (2026)

When Quantization Affects Confidence of Large Language Models?
par: Proskurina, Irina, et autres
Publié: (2024)

Beyond the Steeper Curve: AI-Mediated Metacognitive Decoupling and the Limits of the Dunning-Kruger Metaphor
par: Koch, Christopher
Publié: (2026)

Evaluating Large Language Models for Abstract Evaluation Tasks: An Empirical Study
par: Liu, Yinuo, et autres
Publié: (2026)

Evaluating Large Language Models on Financial Report Summarization: An Empirical Study
par: Yang, Xinqi, et autres
Publié: (2024)

An Empirical Study of the Role of Incompleteness and Ambiguity in Interactions with Large Language Models
par: Naik, Riya, et autres
Publié: (2025)

Calibrating Verbalized Probabilities for Large Language Models
par: Wang, Cheng, et autres
Publié: (2024)

Large Language Models as Universal Predictors? An Empirical Study on Small Tabular Datasets
par: Pavlidis, Nikolaos, et autres
Publié: (2025)

Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models
par: Alzahrani, Abdurahmman, et autres
Publié: (2024)

Calibrating Verbalized Confidence with Self-Generated Distractors
par: Wang, Victor, et autres
Publié: (2025)

Fact-Level Confidence Calibration and Self-Correction
par: Yuan, Yige, et autres
Publié: (2024)

Credence Calibration Game? Calibrating Large Language Models through Structured Play
par: Fang, Ke, et autres
Publié: (2025)

Double-Calibration: Towards Reliable LLMs via Calibrating Knowledge and Reasoning Confidence
par: Lu, Yuyin, et autres
Publié: (2026)

Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization
par: Deroy, Aniket, et autres
Publié: (2024)

Knowledge-based Consistency Testing of Large Language Models
par: Rajan, Sai Sathiesh, et autres
Publié: (2024)

ConfTuner: Training Large Language Models to Express Their Confidence Verbally
par: Li, Yibo, et autres
Publié: (2025)

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models
par: Wang, Pei, et autres
Publié: (2024)

The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models
par: Liu, Xinyi, et autres
Publié: (2025)

Data Generation Using Large Language Models for Text Classification: An Empirical Case Study
par: Li, Yinheng, et autres
Publié: (2024)

An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios
par: Li, Zongjie, et autres
Publié: (2024)

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
par: Kumar, Abhishek, et autres
Publié: (2024)

An Empirical Analysis of Uncertainty in Large Language Model Evaluations
par: Xie, Qiujie, et autres
Publié: (2025)

An Empirical Analysis on Large Language Models in Debate Evaluation
par: Liu, Xinyi, et autres
Publié: (2024)

Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
par: Li, Loka, et autres
Publié: (2024)