Latest Articles for Metrics

An exploration of spheres arranged in three-dimensional spaces and their properties.

Conference discusses fairness across image upsampling techniques and racial representation.

An overview of charged black holes and their unique properties.

Lattice propagators simplify the study of particle interactions in physics.

Introducing a fresh approach to assess retrieval systems using LLMs and question banks.

Core-set selection improves text-to-speech models by focusing on diverse data.

A study on how human-like language shapes our views of technology.

Learn how to design posters that communicate messages clearly and attractively.

A fresh method for assessing how models respond to image-related queries.

A look into the challenges of merging quantum mechanics and gravity.

Examine the properties of cusp forms and their successive minima.

Exploring metrics in compact Kahler manifolds and their implications in various fields.

Observability is key to managing microservice applications and ensuring their reliability.

An exploration of metric measure spaces and their significance in mathematics.

New dataset enhances evaluation of grammatical error correction systems.

A fresh perspective on gravity and black holes through the Lyra Scalar-Tensor Theory.

GPT-4 demonstrates its ability to engage with the classic game DOOM.

Learn how Attack Trees can help identify and address system vulnerabilities.

VFTs explore how geometry influences field properties in quantum physics.

Cattleia offers insights into ensemble models, enhancing understanding and usability in AutoML frameworks.

This study emphasizes quality over quantity in training data for image generation.

A study highlights data contamination's impact on code model evaluations.

Learn how scenario analysis helps leaders make informed choices.

Research investigates gender bias by evaluating statistical and causal fairness in NLP models.

Examining how agents and principals share information on performance metrics.

A new tool simplifies understanding complex machine learning models.

A guide to metrics for assessing LLM performance in various fields.

Discover the importance and applications of complex surfaces in mathematics and physics.

A new tool offers flexible definitions of fairness for machine learning analysis.

Exploring optimal transport with constraints for effective resource movement.

A look into the complex relationships within Teichmüller space and Hitchin representations.

Exploring analytic torsion and its significance in geometry and topology.

Exploring the potential of warp drives through new analytical tools.

This method enhances clustering by using Godel numbering and cellular automata.

A new method groups contingencies to enhance power system stability and efficiency.

BARO offers advanced solutions for detecting issues in microservice systems.

New metrics improve large language models' effectiveness in education.

This article discusses the need for better evaluation practices in fuzzing research.

New framework helps protect sensitive summary statistics during data sharing.

Introducing AnyLoss, transforming metrics into loss functions for better model training.