Latest Articles for Query

This research focuses on computing threshold functions effectively despite noisy data.

Learn how partial feedback can streamline mode estimation in large datasets.

Learn about the efficiency of generative retrieval in document searching.

A new approach to handle indexing of uncertain strings effectively.

This study examines how authors modify content to rank for multiple search queries.

A study on efficient methods for testing intersecting properties in set families.

This paper presents a novel strategy for improving regression tasks through active learning.

A new method improves object detection performance using adaptive queries.

This article explores learned indexes that improve database search speed using machine learning.

A new method enhances converting natural language to SQL queries.

A new method to enhance privacy in digital information retrieval.

Combining LLMs with knowledge graphs enhances answer accuracy in data systems.

A new method improves responses to incomplete user requests using LLMs and logical reasoning.

New system enhances academic searches using language models.

A new method to enhance query rewriting without labeled data.

A new framework enhances the way researchers find and use academic knowledge.

A method for generating quality training data for language model fine-tuning.

Strategies for maximizing benefits using submodular functions under constraints.

A new system enhances query performance by addressing selectivity estimate issues.

A new dataset improves code search efficiency for developers using natural language queries.

Improving patient group identification through innovative Automatic Cohort Retrieval systems.

A new tool streamlines access to complex BioPAX datasets for researchers.

A look at Larimar's new approach to memory in language models.

This article examines the impact of temporal changes on information retrieval system evaluations.

A new benchmark addresses challenges in code retrieval for developers.

New techniques improve search engine models by considering user context.

A new approach to finding video moments using natural language queries.

A new method enhances chatbot training through automated query generation.

New tools allow intuitive data queries using natural language.

Analyzing the effectiveness of RAG and long-context LLMs in processing text.

Discover how best-action queries improve online learning outcomes and reduce decision-making losses.

New indexing techniques speed up data analysis without losing accuracy.

A study on improving GPS data matching to road networks.

This study compares turtle and JSON formats for storing astronomical provenance data.

Examining how Shapley value aids in data interpretation and query results.

This article discusses a new query language for understanding complex beliefs in knowledge graphs.

A new approach to enhance answer diversity in database queries.

Introducing a novel method for improved extraction from complex AI models using SHAP values.

BM enhances search results by improving similarity and meaning recognition.

SelectLLM improves model selection for better responses and lower latency.