Latest Articles for Context

This article explores how to improve the understanding of indirect answers.

A look at how context affects types and their relationships.

Explore how iconic gestures enhance meaning in spoken language.

A new model improves translation accuracy by predicting coreference features.

A look at how irrelevant text impacts modern ranking systems.

AI is transforming the way we write and prove code correctness.

TREC iKAT aims to improve interactions with conversational agents through personalized dialogues.

Exploring how language and actions work together in human communication.

Exploring how disagreement in data labeling can provide valuable insights.

SonifyAR enhances AR experiences by adding context-aware sound effects.

A look at how AI models grasp essential knowledge of the world.

Examining how language models perceive implied meanings in Korean discourse.

This study shows how context improves machine understanding of images and questions.

Context greatly aids how we recognize objects, even when our focus is elsewhere.

A new method enhances image classification accuracy by focusing on context.

A framework for better detecting false claims in language models.

LIFT improves user recommendations by considering both past and future behaviors.

A new method enhances text recognition accuracy across various applications.

A new method to improve response speed in language models using selective document processing.

Explore the role of memory and context in improving machine learning.

Research reveals how context and oxytocin influence our willingness to help others.

This study examines how context shapes emotional expression in online discussions about depression.

A new method enhances code completion using data flow analysis.

A new framework improves detecting harmful language in online spaces.

This article investigates how language models process verbal aspect in Russian.

Exploring fine-grained causal relationships to enhance decision-making in machine learning.

A look into how words relate within language systems over time.

A new approach to measuring fairness in college admissions and credit assessments.

Exploring strengths and weaknesses of LLMs for various business tasks.

Examining why vague terms are essential in our daily communication.

RE-RAG enhances QA systems using a relevance estimator for better accuracy.

New methods are transforming how machines understand and generate human language.

Introducing SPICE, a task to improve AI interactions using contextual information.

Analyzing harmful memes and their effects on society.

Examining the need for context in accurate sign language translation.

Refiner improves language model responses by restructuring retrieved information.

A new system enhances accuracy and reliability in text generation from RALMs.

This research focuses on improving named entity recognition through varied data representation strategies.

A new method enhances LLM personalization for better user engagement.

Examining how context improves machine translation quality in subtitling.