Latest Articles for Natural Language Processing

VQA systems combine images and language to answer user queries effectively.

This study examines how syntax improves relation extraction without extra data.

SpeechGPT bridges speech and text for advanced AI interactions.

New dataset enhances sentiment analysis for Nigerian movie reviews in five languages.

A study on using NLP to extract events from colonial newspaper ads.

This study explores the effectiveness of QPP in improving conversational search systems.

Enhancing search efficiency through refined lemmatization techniques for the Russian language.

Tapir enhances real-time language processing through adaptive revision and memory.

Research focuses on recognizing metaphorical language in flowers and plants.

This study introduces prompt flatness as a measure for evaluating prompt performance.

A system that improves predictions through real-time discussions with humans.

A new three-stage framework enhances the accuracy of question answering using text and tables.

A novel approach integrates duck typing, box embeddings, and knowledge graphs for improved entity retrieval.

A new framework improves instruction data creation for language models using unsupervised knowledge.

A method to enhance language model tasks by predicting necessary changes instead of generating entire texts.

A method reduces response sampling for language models while maintaining accuracy.

Examining generative retrieval's performance on large document datasets.

Research shows pseudo-code prompts enhance language model efficiency and clarity.

A look into how retrieval systems handle complex user queries.

A new approach enhances audio captioning by generating clearer, varied sentences.

LLM-Pruner compresses large models while maintaining their task performance.

A new model improves understanding of spoken dialogues by combining speech and text.

A new method enhances language models with adaptable external memory for improved understanding.

Introducing Inclusive Learning from Human Feedback for improved language models.

This article discusses improving multilingual model performance through enhanced fine-tuning methods.

A new taxonomy to improve LLM performance on complex tasks.

A new framework generates explanations to boost language model performance without human effort.

A structured approach to improve entity classification in text using ontologies.

A new approach enhances logical reasoning in AI by merging LLMs and symbolic solvers.

Pointer networks improve language models by addressing softmax issues.

A new method enhances language models' ability to learn continuously.

This research explores how predicting future words can improve language model performance.

A method to help machines learn new tasks while remembering old ones.

New methods enhance response accuracy in document-grounded dialogue systems.

LogiCoT enhances language models' logical reasoning through structured tasks.

A new approach improves dialogue systems by focusing on user experiences and subjective insights.

This article discusses the significance of sentence representations in natural language processing.

A new method enhances how LLMs create structured graph data.

A new method enhances Multi-Head Attention for better efficiency and performance in language tasks.

Exploring the hurdles in active learning and its implications for research.