FAITHSCORE
by bcdnlp
AI summary
Hallucination detector
Evaluates answers generated by large vision-language models to assess hallucinations
- stars
- 27
- forks
- 4
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Hallucination Detector
Automates fine-grained hallucination detection in large language model outputs
Hallucination corrector
A method to correct hallucinations in multimodal large language models without requiring retraining
Object detection method
An approach to reduce object hallucinations in large vision-language models by contrasting output distributions derived from original and distorted visual inputs
Hallucination detector
A framework for detecting hallucinations in large language models
Benchmark
An image-context reasoning benchmark designed to challenge large vision-language models and help improve their accuracy
Object detector
An evaluation framework for detecting object hallucinations in vision-language models
Model validator
Analyzing and mitigating object hallucination in large vision-language models to improve their accuracy and reliability.
Hallucination tester
Evaluates and mitigates hallucinations in multimodal large language models
Hallucination detector
A framework to detect and mitigate hallucinations in multimodal large language models
Hallucination detection and mitigation
A unified framework and benchmark for detecting and mitigating hallucinations in open-vocabulary image captioning models
Model debiasing
Debiasing techniques to minimize hallucinations in large visual language models
Hallucination detector
An evaluation framework for assessing the performance of large language models on question-answering tasks with hallucination detection
Hallucination fixer
Improves the performance of large language models by intervening in their internal workings to reduce hallucinations
Data processing framework
This project provides tools and frameworks to mitigate hallucinatory toxicity in visual instruction data, allowing researchers to fine-tune MLLM models on specific datasets.
MLLM benchmark
An LLM-free benchmark suite for evaluating MLLMs' hallucination capabilities in various tasks and dimensions