Reefknot

Reefknot is a comprehensive benchmark designed to evaluate and mitigate relation hallucinations in multimodal large language models (MLLMs). It addresses the limitations of current benchmarks by providing a detailed evaluation framework and a novel confidence-based mitigation strategy. Reefknot aims to improve the trustworthiness of multimodal intelligence by reducing hallucination rates.

Category: Artificial Intelligence

Subcategory: Multimodal Large Language Models

Tags: relation hallucinationsmultimodallarge language modelsbenchmarkevaluation

AI Type: Machine Learning

Programming Languages: Not specified

Frameworks/Libraries: Not specified

Application Areas: Multimodal intelligencelanguage models

Manufacturer Company: Not specified

Country: Not specified

Algorithms Used

Confidence-based mitigation strategy

Model Architecture

Not specified

Datasets Used

Visual Genome scene graph dataset

Performance Metrics

Reduces hallucination rate by 9.75%

Deployment Options

Not specified

Cloud Based

On Premises

Yes

Features

Comprehensive benchmark, confidence-based mitigation, improved trustworthiness

Enterprise

Yes

Hardware Requirements

Not specified

Supported Platforms

Not specified

Interoperability

Not specified

Security Features

Not specified

Compliance Standards

Not specified

Certifications

Not specified

Open Source

Source Code URL

http://Not specified

Documentation URL

http://Not specified

Community Support

Not specified

Contributors

Not specified

Training Data Size

20,000 real-world samples

Inference Latency

Not specified

Energy Efficiency

Not specified

Explainability Features

Not specified

Ethical Considerations

Not specified

Known Limitations

Not specified

Industry Verticals

Technology, Research

Use Cases

Evaluation of multimodal models, hallucination mitigation

Customer Base

Not specified

Integration Options

Not specified

Scalability

High

Support Options

Not specified

SLA

Not specified

User Interface

Not specified

Multi-Language Support

Localization

Not specified

Pricing Model

Not specified

Trial Availability

Partner Ecosystem

Not specified

Patent Information

Not specified

Regulatory Compliance

Not specified

Version

Not specified

Website URL

http://Not specified

Service Type

Not specified

Has API

API Details

Not specified

Business Model

Not specified

Price

0.00

Currency

Not specified

License Type

Not specified

Release Date

01/01/1970

Last Update Date

01/01/1970

Contact Email

Not specified

Contact Phone

Not specified

Social Media Links

http://Not specified

Other Features

Not specified

Published

Yes