Latest Articles for LLMs

Exploring how LLMs can impact patient care and healthcare data analysis.

A novel method to enhance attention in code generation by language models.

An analysis of LLMs and their differences from human language acquisition.

This article investigates LLM performance on graph-related reasoning tasks.

This article discusses methods to enhance coding tools for multiple languages.

AI is reshaping how we create and find fashion content.

This study examines how vehicles can use AI to improve safety and communication.

CoRA enhances recommendation systems by integrating collaborative features into language models.

This study reveals insights into public attitudes toward vaccination using social media data.

Biorecap helps researchers summarize recent studies for efficient information access.

A multi-domain benchmark assesses LLMs' code generation abilities across various fields.

New method enhances ASR accuracy using language models for better transcriptions.

A new method uses anomaly detection for improved vulnerability identification in software.

This article explains how counterfactuals enhance clarity in machine learning decisions.

A new method locates video events using large pre-trained models without specific training.

Examining biases in large language models when analyzing political statements.

Exploring how LLMs are shaping the future of healthcare.

Exploring advancements in generating detailed food recipes with AI tools.

Enhancing LLMs for better medical translation accuracy and consistency.

This article discusses a new framework for enhancing reasoning in AI models.

This study examines the effectiveness of LLMs in musicology and their reliability.

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

New methods enhance how tools are selected for language models.

A new benchmark evaluates biases in language models used for medical diagnoses.

This study compares different LLMs for finding faults and detecting vulnerabilities in software.

AIvril enhances RTL code generation through automated syntax checking and functional verification.

Exploring how LLMs can identify unusual data instances effectively.

Exploring the efficiency and adaptability of language models through modular design.

New framework GenDFIR enhances the analysis of cyber event timelines.

Better prompts enhance the quality of synthetic tabular data generated by LLMs.

Learn how LLMs streamline event log creation from messy IoT data.

Survey reveals insights on LLM use and concerns in a pediatric setting.

New methods connect metadata to knowledge graphs for better data interpretation.

Study explores how language models can predict patient discharge using EHR logs.

This research enhances how models answer questions using tables.

This study evaluates how LLMs handle SPARQL queries and Knowledge Graphs.

A new method to enhance AI game masters using function calling in tabletop games.

Exploring how clearer explanations enhance trust in recommendations.

Exploring how LLMs can streamline editing structured documents with minimal effort.

Examining how language affects the effectiveness of LLM-based recommendations.