Latest Articles for Language Processing

Study reveals gender stereotypes in emotional responses of Bangla language models.

A new method aims to improve KGQA for non-English speakers.

A study reviews how well chatbots grasp symmetry in language.

New model simplifies language processing, making AI more accessible.

A project to improve text recognition for Spanish documents using TrOCR.

A study on how stereotypes affect language models using the GlobalBias dataset.

Learn how automata theory enhances the performance of language models.

Evaluating the true reasoning skills of large language models remains challenging.

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

Examining the hurdles in web data collection for language models.

A project focused on improving story generation in Arabic using advanced models.

A fresh approach to assessing large language models for better performance insights.

Learn how aging impacts our understanding of language and mental processing.

SE-GPT enhances language models with autonomous learning from experiences over time.

Examining subtle biases in open-ended responses generated by language models.

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

A method to adapt language models while reducing skill loss.

A team improves audio processing for speaker and language identification.

A look into bias in language models and their impact on fairness.

Research on detecting human emotions through speech shows promise for various applications.

New methods improve testing for language models, focusing on key performance areas.

Research presents new methods for evaluating speech recognition systems in Polish.

This article discusses ways to enhance numeric expression formatting in automatic transcripts.

ASTPrompter identifies toxic outputs from language models using realistic prompts.

Strategies to enhance user trust during updates of language models.

PersonaRAG improves language models by personalizing responses based on user behavior.

This paper focuses on improving the reliability of language model outputs.

CEIPA helps uncover vulnerabilities in large language models to enhance their safety.

Exploring how AI can execute detailed spoken commands in virtual environments.

Exploring the complexities of transforming NFAs into DFAs in computer science.

A framework to create multilingual datasets for better AI understanding.

New tools for Arabic dialects improve banking communication and customer service.

Study analyzes text classification methods for subjective and objective content in five languages.

TokenSHAP reveals how words impact language model responses.

A new method to assess accuracy in language model outputs.

A method that translates plain language into executable programs for non-programmers.

An overview of NLG progress, challenges, and future research directions.

Examining the risks and safety measures for LLM-powered robots.

A new method promotes fairness in identifying targeted toxic language across demographic groups.

This study examines methods to distinguish between human-written and machine-generated text.