MME-RealWorld
by yfzhang114
✨✨ MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
AI summary
Real-world challenge simulator
A multimodal large language model benchmark designed to simulate real-world challenges and measure the performance of such models in practical scenarios.
- stars
- 86
- forks
- 6
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Multimodal model developer
Develops large multimodal models for high-resolution understanding and analysis of text, images, and other data types.
Multimodal evaluation framework
Develops a multimodal task and dataset to assess vision-language models' ability to handle interleaved image-text inputs.
Image captioner
An end-to-end image captioning system that uses large multi-modal models and provides tools for training, inference, and demo usage.
Chart model trainer
Develops a large-scale dataset and benchmark for training multimodal chart understanding models using large language models.
Video analysis benchmark
Comprehensive benchmark for evaluating multi-modal large language models on video analysis tasks
Multimodal benchmarking
Evaluates and benchmarks multimodal language models' ability to process visual, acoustic, and textual inputs simultaneously.
Multimodal model
A large multimodal model for visual question answering, trained on a dataset of 2.1B image-text pairs and 8.2M instruction sequences.
Model evaluator
Evaluates the capabilities of large multimodal models using a set of diverse tasks and metrics
Natural Language Parser
Translates natural language into formal representations using Combinatory Categorial Grammar (CCG), enabling semantic parsing.
Multilingual Model
Develops and publishes large multilingual language models with advanced mixing-of-experts architecture.
Chinese understanding benchmark
Measures the understanding of massive multitask Chinese datasets using large language models
Mixture-of-Experts Model
Developed by XVERSE Technology Inc. as a multilingual large language model with a unique mixture-of-experts architecture and fine-tuned for various tasks such as conversation, question answering, and natural language understanding.
MLLM benchmark
An LLM-free benchmark suite for evaluating MLLMs' hallucination capabilities in various tasks and dimensions
Visual Model Benchmark
An open-source benchmarking framework for evaluating cross-style visual capability of large multimodal models
Multimodal LLM
A multi-modal large language model that integrates natural language and visual capabilities with fine-tuning for various tasks
