Latest Articles for Large Language Models

Examining how language models can efficiently compress various types of data.

A new framework enhances conversational search by improving diverse data generation.

NLRL combines reinforcement learning with natural language for improved decision-making.

A new tool uses language models to automate repetitive code changes efficiently.

A new method enhances machine understanding of diverse data types.

New methods enhance how machines learn to follow human commands effectively.

A detailed look at CyberMetric's evaluation of AI and human experts in cybersecurity.

A fresh approach to identify spear-phishing attacks using advanced language models.

New methods improve the speed and accuracy of recommendation systems.

Custom LLMs raise safety concerns, particularly with instruction backdoor attacks.

AI language models enhance diagnostic accuracy in ophthalmology through image and text integration.

A method combining LLMs and Neural Additive Models to aid diagnostic accuracy.

A novel approach using language models to test medical rule engines improves accuracy.

Exploring how large language models enhance time series predictions.

A new approach using LLMs enhances dataflow analysis for better code understanding.

LinkNER combines NER models and LLMs for better named entity recognition.

SPAR enhances personalized recommendations by analyzing long user engagement histories.

Discover how language models are reshaping financial analysis and decision-making.

A new method enhances event extraction using reinforcement learning techniques.

This study reveals how LLMs improve planning efficiency and success rates.

This article discusses an innovative approach integrating AI in causal discovery methods.

This article examines how input length affects Large Language Models' reasoning skills.

This study explores enhancing the accuracy of neural rankers using language models.

Examining the combination of SFMs and LLMs for improved speech translation.

This article discusses techniques to improve reasoning transparency in AI models.

Examining the social dynamics and benefits of autonomous AI interactions.

Learn how large language models streamline coding with effective methods.

SiLLM enhances real-time translation by integrating two distinct models.

A new approach to streamline document generation using LLMs and multi-agent systems.

Examining how adversarial attacks impact LLM evaluations and academic integrity.

New framework enhances protein research through innovative question answering.

Automating taxonomy expansion using advanced language models for better knowledge organization.

A new framework assesses AI's understanding of human social interaction.

A new model helps improve public health resource allocation through language processing.

Using AI models to improve personal mobility planning in urban settings.

This article examines the impact of LLMs across various sectors.

FUTE offers a new approach to task embeddings across multiple models.

Using language models to better evaluate borrower risk in lending.

A new framework enhances hate speech detection by generating realistic test cases.

RACER streamlines the analysis of semi-structured interviews in healthcare research.