PCA-EVAL
Multimodal model evaluator
An open-source benchmark and evaluation tool for assessing multimodal large language models' performance in embodied decision-making tasks
[ACL 2024] PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain
99 stars
5 watching
3 forks
Language: Jupyter Notebook
last commit: over 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| Evaluating and improving large multimodal models through in-context learning | 21 | |
| A benchmarking framework for evaluating Large Multimodal Models by providing rigorous metrics and an efficient evaluation pipeline. | 22 | |
| Evaluates and compares the performance of multimodal large language models on various tasks | 56 | |
| An evaluation suite for assessing chart understanding in multimodal large language models. | 85 | |
| Evaluates language models using standardized benchmarks and prompting techniques. | 2,059 | |
| A tool for evaluating and visualizing machine learning model performance | 3 | |
| A framework for evaluating language models on NLP tasks | 326 | |
| Tools and evaluation framework for accelerating the development of large multimodal models by providing an efficient way to assess their performance | 2,164 | |
| Evaluates and benchmarks multimodal language models' ability to process visual, acoustic, and textual inputs simultaneously. | 15 | |
| An evaluation toolkit for large vision-language models | 1,514 | |
| An evaluation framework for machine learning models and datasets, providing standardized metrics and tools for comparing model performance. | 2,063 | |
| A toolset for evaluating and comparing natural language generation models | 1,350 | |
| An automatic evaluation tool for large language models | 1,568 | |
| A library that enables evaluation of predictive models stored in PMML format within Apache Spark | 94 | |
| A repository of papers and resources for evaluating large language models. | 1,450 |