Latest Articles for Confidence

A new method improves model adaptation during testing with dynamic pseudo-label filtering.

Recent tests reveal LLMs' weaknesses in simple reasoning despite high benchmark scores.

A new technique enhances neural network prediction reliability through geometric adjustments.

An exploration of how confidence fluctuates in decision-making contexts.

DIPS addresses data quality issues in pseudo-labeling for better machine learning outcomes.

A new method enhances safety in reinforcement learning by integrating user-defined confidence levels.

Research on parasite interactions may lead to better treatments and solutions.

Learn about a new tool for discovering patterns in graph databases.

Exploring how agents balance performance and resource costs in unpredictable settings.

AI tools are reshaping programming education, affecting student learning and confidence.

A new method enhances prediction certainty in language models for yes/no questions.

A new method improves prediction clarity in softmax classifiers for critical fields.

Exploring how confidence levels are attributed to LLMs and their implications.

This article tackles miscalibration issues in vision-language models and offers solutions.

A new method improves how vision-language models adapt during testing.

A study examines how blind individuals interact with object recognition technology.

Research shows past experiences deeply influence how we perceive sensory information.

Examining how humans and machines can collaborate for better decision-making outcomes.

Exploring how external inputs shape responses of large language models.

New benchmark tackles relation hallucinations in multimodal large language models.

This paper examines how LLMs express confidence in their answers.

How labeling AI affects user acceptance and perception in vehicles.

A method to improve how confident language models are in their text generation.

A new method improves confidence in machine learning predictions.

Combining AI and human annotations improves data accuracy and efficiency in research.

Study reveals how language models forget skills inconsistently across tasks.

New techniques enhance robot navigation by addressing map uncertainty and consistency.

AI explanations can aid learning but lack lasting impact.

CalibRAG improves language models by aligning confidence with accuracy.

A method to estimate reliability of responses from large language models.

Examining how being active influences the happiness and health of kids.

Exploring effective teamwork between humans and AI for better predictions.

Explore how confidence impacts our decisions and brain function.

A new method boosts doctor confidence in AI predictions.

A look at how working memory manages uncertainty in decision-making.

A new framework helps language models express uncertainty and improve their honesty.

New method improves confidence in GNN predictions significantly.

Are AI models confident or just lucky in their answers?

Explore how PCEE improves AI models' efficiency without sacrificing accuracy.