Latest Articles for Natural Language Processing

ChapTER combines historical context and textual knowledge for improved TKGR performance.

This study addresses challenges in capturing accurate medical terms from noisy audio.

Efforts to enhance sentence embeddings for better handling of informal language.

Study compares rule-based and language model systems for extracting social support data.

Introducing TABDet, a new method for detecting backdoor attacks across NLP tasks.

A powerful language model for diverse applications across multiple languages.

This article explores how text elements influence classification tasks in NLP.

A study on how prior knowledge affects LLMs' ability to recognize emotions.

New methods enhance text generation by focusing on concise, relevant citations.

This study compares SES methods for improved lemmatization across multiple languages.

A framework to generate code repositories using simple language requirements.

A method to enhance machine understanding through multi-facet embeddings.

A new tool helps users modify sounds easily through simple text instructions.

OPTIN framework enhances transformer models without re-training for various AI tasks.

Examining biases in next-token prediction and their impact on model performance.

Explore the strengths and weaknesses of RNNs and Transformers in natural language processing.

This article discusses methods to reduce errors in language models.

ChroniclingAmericaQA dataset improves question answering using historical newspaper texts.

ArabicaQA enhances Arabic question answering with a large-scale dataset.

A new method enhances reliability in finding connections within language models.

This study evaluates various language models for text classification using minimal training data.

This article discusses the automation of labeling emotions in text data.

Analyzing diverse projects utilizing ChatGPT from GitHub.

EREN enhances the accuracy of language models through effective editing techniques.

A novel method enhances NER performance using minimal labeled data.

New design enhances LLMs' ability to handle diverse tasks effectively.

This article explains how language models produce incorrect information and studies their causes.

Research focuses on enhancing user satisfaction models with balanced datasets.

Learn about language models, hallucination, and ways to improve accuracy.

A new method integrates acoustic information into language models for better speech recognition.

This study highlights offline RL methods for improving VLN agents using suboptimal data.

A new method enhances confidence scores for language models across specific topics.

GOLD offers a framework for generating diverse training data for small language models.

A new approach improves image captioning with location-aware techniques.

A new dataset aims to improve hate speech detection models for the German language.

Understanding discrepancies in model explanation methods through linguistic analysis.

This study assesses summarization models for various legal systems.

J-CRe3 enhances robot comprehension of human speech in everyday tasks.

New methods improve model adaptability for diverse user tasks.

A new approach enhances reasoning accuracy in language models using selective filtering.