Latest Articles for Language Processing

Robots now plan movements effectively using natural language tasks and scene graphs.

Research delves into how AI interprets fairness and morality in language.

Analyzing fine-tuning effects and proposing conjugate prompting as a solution.

Analyzing gender bias in language models through Natural Language Inference.

This study enhances G2P models by focusing on error-prone areas during training.

A new dataset improves machine learning's grasp of ocean and climate science.

Research combines language and diffusion models to improve defenses against adversarial attacks.

New framework improves assessment of speech translation systems.

Discover how LLMs improve accuracy in translating ambiguous language.

A study on detecting hate speech in Algerian social media language.

Research bridges predictive coding and machine learning to enhance language processing insights.

AceGPT enhances Arabic language processing tailored for local culture and values.

This study merges LLMs and SLMs to improve detection of fake news.

New method generates counterfactual examples for better model evaluation and training.

StyloMetrix provides insights into writing styles in Polish, English, Ukrainian, and Russian.

A look at how language diarization helps in multilingual conversations.

Modern language models enhance text normalization accuracy and quality.

Research on identifying AI-generated text across different models without extra training.

Combining multilingual and language-specific methods to better detect hate speech.

Examining how evolving language affects models detecting online abuse.

New methods improve adaptability of language models while retaining past knowledge.

Enhancing language models' accuracy in medical inquiries through model editing techniques.

An overview of how machines process text, images, and audio.

Examining the reliability of human feedback for assessing language model outputs.

A new framework enhances detection of harmful online language through continuous learning.

New methods improve machine translation for low-resource languages.

Examining how biases affect the quality of language model evaluations.

A new method combines language models with reinforcement learning for AI training.

New methods improve speech processing and generation in language models.

SelfExtend offers a new approach to enhance LLMs' long text processing.

This paper examines techniques to reduce hallucination in language models for better accuracy.

A new framework enhances visual reasoning using language models as controllers.

Exploring how language models recover and adapt after changes.

New method improves learning new classes with less data.

A new method for accurate Arabic text diacritization is introduced.

New method enhances retrieval efficiency across languages without heavy translation.

A new dataset for improving e-commerce image and text recognition.

Examining the nature and capabilities of language models in generating meaningful text.

A dataset tests language models on self-referential language tasks.

QE-fusion enhances translation quality by combining multiple candidate outputs.