Latest Articles for Natural Language Processing

A new approach to enhance consistency in online product categorization.

A comprehensive look at large language models, their uses, and challenges.

VCSum provides a comprehensive dataset for effective meeting summarization in Chinese.

This research enhances machine translation of text from images using multiple teacher models.

New methods enhance text summary length control for improved quality.

A look at recent improvements in recognizing names in Korean text.

WikiSQE dataset highlights quality issues in Wikipedia sentences.

A new AI framework bridges images and language for better task handling.

This work explores how robots can better plan tasks using language and visual input.

This study evaluates BERT models for natural language processing on low-resource devices.

A novel approach combines visual features and external knowledge for better question answering.

A new method boosts language model reasoning and handles distractors effectively.

This article investigates how LLMs manage negative knowledge and the challenges involved.

Examining how language models lose knowledge during continual training.

New methods enhance language models for better understanding of low-resource languages.

Decker combines knowledge sources for improved commonsense verification.

A study on the impact of biases in large language models during question answering.

New methods enhance summarization of doctor-patient conversations for better healthcare.

PT-* improves language processing for Portuguese speakers, enhancing AI capabilities.

A new model combines audio and text data for better speech recognition accuracy.

Methods to enhance chatbot intent classification with minimal training data.

This document presents a new multilingual model for better language processing.

A dataset aims to improve question answering in African languages.

A method to improve efficiency in training language models through data selection.

A new approach helps machines retain knowledge in relation extraction tasks.

SCKD model improves continual learning for relation extraction while addressing forgetting issues.

A study on enhancing content-based recommendations using LLMs.

A new method for selecting crowd workers enhances data labeling quality and reduces costs.

A new tool that connects text and images for various tasks.

New method uses word frequency for better dimension selection in word embeddings.

RepAL improves sentence representations by filtering unnecessary information effectively.

Improving small models for medical questions through innovative techniques and data methods.

A fresh approach to assess translation quality without labeled data.

A new approach enhances sentence embeddings by using multiple similar instances.

Examining the risks and effects of model hijacking in natural language processing.

A new method shines light on biases in language model responses.

A look into ChatGPT's ability to reason causally.

Open-WikiTable offers a dataset for answering complex questions using table data.

SCENE automates the creation of negative examples for improved language model training.

Study reveals strengths and weaknesses of large models in handling text in images.