Latest Articles for Language Processing

A system that helps robots understand and follow verbal instructions for balance.

New methods improve speech systems for underrepresented languages.

A new framework enhances the process of verifying time-related claims online.

Improving trust and transparency in large language models through explainable AI.

A dataset featuring Ottoman Turkish and Russian texts for research enhancement.

Introducing DOPRA, a cost-effective way to improve MLLM accuracy.

Learn how cross-lingual entity alignment connects global information efficiently.

Our study targets regional identification of Italian tweets using language models.

An analysis of transformers' struggles with basic multiplication tasks.

Learn about text style transfer and its implications for language processing.

A look at the strengths and weaknesses of KANs and MLPs in machine learning.

Studying how language models respond to fictional questions reveals shared characteristics.

A new method improves the efficiency of language models significantly.

Understanding techniques to bypass safety in language models.

This article investigates how language models handle ambiguous terms and their response consistency.

A study on how language models handle conflicting information.

Examining biases and fairness challenges in language models.

Examining how language models can refuse to answer for improved safety.

This study tests AI models for human-like sound-shape associations.

This study examines the relationship between multimodal models and human thought.

A new model integrates audio and visual data for speech recognition and translation.

A detailed study on how models memorize text and its implications.

Introducing a new approach to connect language and vision models efficiently.

A new method for enhancing small language models using knowledge graphs for better causal analysis.

This project aims to identify and reduce bias in language models across European languages.

Leveraging LLMs can enhance efficiency in extracting process information from natural language texts.

Research focuses on efficient multilingual language models using Knowledge Distillation and Mixture of Experts.

A new dataset reveals public political sentiments during elections in Bangladesh.

A new benchmarking framework enhances efficiency for evaluating language models.

A new method enhances word suggestions for translators using contextual understanding.

This article discusses innovative ways to detect offensive language online.

A new approach enhances machine translation quality and speed using kNN.

Research shows how CCoT influences the performance of language models.

This article compares methods for identifying skills in job ads.

A new project aims to improve computer understanding of Arabic through innovative techniques.

A study on how language models perform deductive and inductive reasoning tasks.

UniMoT merges molecular science with language processing for enhanced analysis.

Examining the issues and advancements in cross-lingual summarization methods.

This study analyzes how well AI models solve Italian rebuses.

A framework to reduce false outputs in language-vision models across multiple languages.