Latest Articles for Evaluating

Efforts to simplify academic language enhance understanding for all readers.

This article examines bias in language models and strategies to reduce it.

A new tool focuses on ASL translation in machine learning.

This study examines how LLMs assess bug report summaries compared to human evaluators.

A new method for assessing robustness in ML classifiers using adversarial distance.

ARTAI aims to assess societal impacts of recommender systems and enhance transparency.

Improve customer engagement with targeted promotions that respect business limits.

A study on the importance of evaluation metrics in anomaly detection.

Examining how honesty impacts the reliability of language models.

A look into how actions impact health decisions and outcomes.

A new metric aims to better evaluate machine translations by aligning with human preferences.

Learn how to improve image-text models and reduce common errors.

A fresh look at how AI answers medical questions and its effectiveness.

New method enhances Autoraters for better translation scoring.

Learn how LSB enhances image translation processes efficiently.

A look into methods and challenges in segmenting text by topics.

Engineers use language models to create unique scenarios for safe self-driving car testing.

Exploring the role of LLMs in extracting procedural knowledge from text.

Researchers teach AI to understand simple commands for real-world actions.

Research examines if LLMs can effectively evaluate text quality compared to human judges.

A tool to evaluate the safety responses of large language models in China.