Latest Articles for Evaluation

This article examines a new way to create algorithms with LLMs.

Learn how seven-valued logic enhances decision-making with multiple criteria.

A challenge focusing on deep generative models for realistic medical image generation.

A model assesses the readability of Wikipedia articles across 14 languages.

A new approach using LLMs to create distractors with minimal human input.

A new approach to evaluating biases in automated AI evaluation metrics.

New methods aim to enhance reasoning capabilities in language models.

New metrics shed light on the limitations of language models in representing reality.

A new system for assessing language models using real-world data streams.

Introducing IrokoBench to improve LLM evaluation in African languages.

The ULS23 Challenge aims to improve tumor segmentation in CT scans for better cancer care.

A fresh approach improves detection of fake images created by AI.

A new benchmark aims to assess MLLMs in video understanding across multiple topics.

This study presents a new method for identifying key training images in AI-generated visuals.

Exploring the significance of unlearning methods in modern machine learning.

Examining the key issues in offline MARL and proposing standardized solutions.

Learn about CGP, its function, advantages, applications, and challenges in programming.

A new dataset improves coherence in image-text sequences for effective content creation.

SciEx reveals strengths and challenges of LLMs in scientific evaluation.

SEACrowd aims to improve AI representation for Southeast Asian languages and cultures.

A study evaluates language models on handling multiple tasks simultaneously.

A new benchmark tests LLMs' abilities with structured data formats.

VCEval offers an automated way to assess online course effectiveness.

A new benchmark targets compositionality in video understanding and language models.

A new method enhances testing for language models using real user data.

The Nemotron-4 340B family delivers powerful models for diverse applications and synthetic data generation.

Evaluating how language models handle cultural cues in real tasks.

VideoVista offers a comprehensive evaluation for video question-answering models.

This article explores methods to enhance the reliability of research artifacts in computing.

GLM-4 models show improved capabilities in language understanding and generation.

A study on using LLMs to judge other LLMs and its implications.

A study on how language models generate persuasive rationales for argument evaluation.

Two new models aim to improve technology access for Galician speakers.

Examining the difficulties of translating metaphorical language in machine translation.

DF40 offers a comprehensive approach to improving deepfake detection methods.

This study assesses the honesty of LLMs in three key areas.

Discover how companies enhance their question-answering systems for better user support.

A study on how AI comprehends algorithms and their implications.

A new metric improves evaluation of text classification models across different domains.

Data contamination affects the evaluation of large language models significantly.