Latest Articles for Natural Language Processing

Inf-MLLM enhances efficiency in handling complex data streams with limited resources.

Discover a new method for AI learning that improves knowledge retention.

RACC optimizes knowledge retrieval for more efficient visual question answering.

Explore the benefits of combining semi-supervised learning and contrastive learning in machine learning.

A new method improves AI explanations through collaboration between two language models.

WikiOFGraph enhances G2T generation with high-quality graph-text pairs.

Examining the impact of prompt languages on LLMs in Arabic tasks.

A new approach to modeling data using natural language for better interpretation.

Study reveals how language models utilize context for accurate responses.

Learn how transfer learning improves machine learning outcomes with limited data.

A new approach refines the connection between images and text in VLMs.

A new model combines speech recognition and entity recognition for better results.

Explore how combining tensor factorizations and circuit representations improves data modeling.

Methods to improve safety in Falcon 11B model for better outputs.

A new method improves video question answering by focusing on multi-object events.

Block-Attention enhances language models by speeding up responses while maintaining accuracy.

Learn about the challenges and models in visual question-answering tasks.

This study examines the relationship between intrinsic and extrinsic bias metrics in NLP.

Exploring the impact of recurrence on the effectiveness of Transformers in language tasks.

Discover new methods to improve language models through balanced learning.

ProcessTBench enhances LLM capabilities in task planning and process mining.

Using weaker language models can improve AI alignment efficiently.

A new method enhances word meanings from language models using autoencoders and generated data.

A system that answers queries about CAD models using natural language processing.

A new method improves large language model alignment with human input.

This article examines key factors in preference dataset quality for better reward model training.

A new method enhances how machines analyze images using text.

A new planner improves how robots understand spoken commands using formal specifications.

This research shows how metadata can boost political stance detection accuracy.

A new model for better relation extraction using syntax and context.

A new model improves language understanding and reduces misinformation.

A new dataset aims to improve QA systems for the Quran and Ahadith.

This study focuses on improving dialogue systems' reliability by assessing confidence in responses.

This study investigates generative models for effective keyphrase creation in scientific papers.

A new technique cuts memory needs for large language models while keeping performance.

A new method enhances efficiency in processing long inputs for language models.

A new method improves robots' grasping ability using natural language commands.

A new text embedding model shows promise in multilingual tasks and performance.

A look into how IRL enhances language model performance and diversity.

A new benchmark aims to improve uncertainty assessment in language models.