Latest Articles for LLMs

Introducing RePrompt for better language model performance through optimized prompts.

This study examines biases in AI models during hate speech data labeling.

Exploring the role of AI in enhancing grading consistency in online education.

Research shows consistent response styles improve LLM effectiveness with fewer examples.

A new method combines human and AI for efficient text classification.

This study analyzes how language influences cultural values in large models.

APPL streamlines development with large language models using an intuitive, Python-like syntax.

This article discusses how deep neural networks learn language through next-token prediction.

UNCTAD creates an open-source RAG tool for better data access and efficiency.

This study investigates the effectiveness of FActScore in multiple languages.

CEBench helps businesses and researchers assess LLMs while managing costs and performance.

GIEBench assesses LLMs' empathetic responses based on diverse group identities.

A study on PlagBench and its role in detecting plagiarism in LLM outputs.

A new dataset assesses LLM performance in solving graph-related challenges.

This paper showcases a method for using LLMs to annotate tabular data with minimal human effort.

This study examines LLMs as a cost-effective alternative for text classification.

LLaMIPa enhances computers' ability to grasp conversation dynamics.

A new framework enhances FMEA data analysis and retrieval.

A new method to clarify scientific messages for policymakers using large language models.

GraphArena evaluates LLM performance on graph problems using real-world data.

A new study assesses the understanding of economics by large language models.

New TOKEN approach improves handling of rare driving events in autonomous vehicles.

This article explores LLMs and their potential for deceptive behaviors in blackjack.

Introducing TTPD to accurately identify false statements in large language models.

A new method enhances HDL code generation accuracy using LLMs.

Examining the role of semantic graphs in simplifying sentences with large language models.

Examining AI models for effective software log classification in telecom networks.

A new benchmark tests AI models on complex math problems.

A new framework aims to automate paper reviews for better quality feedback.

This study reveals LLMs' preference for their own output over human-written content.

How wearable technology and LLMs are changing health monitoring and data interpretation.

A look at how KGs and LLMs improve AI applications.

FragLlama adapts language models for innovative molecular design and drug discovery.

Assessing LLM capabilities using grid-based games like Tic-Tac-Toe and Connect Four.

This paper evaluates LLM performance in a Theory of Computing course.

This study assesses translation techniques for the Ladin language.

A new method to enhance the safety of language models with less effort.

Using smartphone data to assess emotional states in university students.

A closer look at methods to ensure LLMs are safe from misuse.

Exploring how AI can generate fun word puzzles for players.