Latest Articles for Information Retrieval

A new framework improves candidate comparison in data retrieval.

RaBitQ offers enhanced accuracy and speed for high-dimensional data searches.

GMASK offers a flexible solution for approximate similarity search across various datasets.

A novel approach improves efficiency in knowledge graph completion tasks.

This article discusses a flexible ranking method using multi-vector embeddings for better search results.

A new method enhances efficiency in document ranking tasks.

A new method to enhance query rewriting without labeled data.

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

KG-FIT combines knowledge graphs with language model insights for richer data representation.

Introducing GRAG to enhance language models' accuracy using graph structures.

Introducing a framework for fair and accurate information retrieval without traditional labels.

JADS combines theme discovery and summarization for clear text insights.

A new approach enhances querying in graph databases using ontologies.

This study presents a system to enhance language model accuracy using adversarial challenges.

A new framework combines GNNs and LLMs for improved answers from knowledge graphs.

Introducing an innovative approach to identify causal relationships in documents.

A new method enhances relation extraction across long documents.

A new model focusing on understanding time in language processing.

Explore the innovative method of linking user queries directly to documents.

This paper presents a new approach to enhance KGQA performance using GNNs and LLMs.

A method to create clear text representations using yes/no questions.

Assessing question difficulty enhances the effectiveness of information retrieval systems.

Research explores quantum systems to enhance search efficiency.

VISTA improves how we find information by integrating text and visuals.

A new indexing technique improves database operations using GPU capabilities.

New strategies enhance the ability of language models to retrieve knowledge accurately.

A dataset designed to improve machines' ability to answer time-based questions.

A study introduces a new benchmark for prompt performance in creating and retrieving images.

New benchmarks ensure AI systems stay relevant with evolving information.

A new framework improves named entity recognition efficiency and performance.

Introducing MoeSumm: a flexible and efficient summarization model.

A new approach enhances relation extraction using memory to process noisy data.

PIXAR enhances generative retrieval with multi-word phrases, improving efficiency and accuracy.

Learn how to optimize search methods using randomized strategies and game theory.

Study evaluates how well LLMs reason beyond immediate context.

Investigating the synergy between LLMs and KGs in AI applications.

This study examines how ambiguity in sentences affects search system performance.

A new model offers better clarity and efficiency in filling knowledge graph gaps.

A new method combines rule mining and link prediction to enrich knowledge graphs.

A dataset designed to improve access to corporate climate disclosures.