Latest Articles for Large Language Models

Identifying unique traits of code produced by Claude 3 using machine learning.

Examining the relationship between LLMs and human cognition.

Researching connections in biblical texts with advanced language models.

A novel method enhances detection and explanation of fake news.

A safety framework ensures responsible behavior in embodied AI systems through structured processes.

A look at how Bi-Tuning improves recommendation systems through collaborative information.

Enhancements in QA systems for better legal document retrieval in Vietnamese.

New methods improve unit test generation with large language models.

Discover how language models are changing visual data analysis.

New framework GenDFIR enhances the analysis of cyber event timelines.

Using advanced models to better assess research ideas in academia.

A framework using LLMs to enhance evolutionary algorithms for MOPs.

Research reveals how layers in LLMs equally contribute to predictions.

A new model enhances decision-making in transportation systems through better data handling.

A web app simplifying federated learning for enhanced data privacy and user accessibility.

Study explores AI's effectiveness in predicting suicide risk through hotline conversations.

Research shows promise in using LLMs for generating drug-like molecules.

RegNLP aims to make understanding regulatory documents easier and more efficient.

Researchers fine-tune LLMs to enhance honesty and reliability in outputs.

Small models offer unique advantages in AI, complementing larger models efficiently.

A new approach enhances research clarity using cognitive knowledge graphs and language models.

Explore how large language models assist in software test maintenance.

Examining the accuracy of term normalization in large language models.

A closer look at how well large language models perform basic tasks.

Learn how semantic tokenization improves recommendation systems.

Learn how LLMs automate the summarization of user app reviews.

A novel approach to streamline UI testing for mobile apps using machine learning.

Foundation models enhance emotion recognition and interaction in Affective Computing.

RAG automates competency question generation, enhancing ontology development efficiency.

This study evaluates LLM performance on Indonesian professional exams across multiple fields.

New technologies aim to improve care for patients with rare gynecological cancers.

Using LLMs for accurate software project cost and duration estimation.

Automating text annotation improves accuracy and efficiency in machine learning.

LLMs show promise in melanoma diagnosis and patient education.

A new benchmark assessing large code models in real-world coding tasks.

This article discusses ways to enhance safety in RL using language models.

Robots can adapt better to their environments using emotional learning.

Exploring the GenSEC challenge to improve speech transcription accuracy.

Introducing self-improving agents for efficient particle accelerator management.

Enhancing user experiences through integrated recommendation systems.