AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
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Updated
Jun 22, 2024 - Python
AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills
A Framework of Small-scale Large Multimodal Models
The official evaluation suite and dynamic data release for MixEval.
This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"
An official implementation of ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
[CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation
Open Platform for Embodied Agents
Embed arbitrary modalities (images, audio, documents, etc) into large language models.
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models
A bug-free and improved implementation of LLaVA-UHD, based on the code from the official repo
The official repo for “TextCoT: Zoom In for Enhanced Multimodal Text-Rich Image Understanding”.
An open-source implementation of LLaVA-NeXT.
An official implementation of ShareGPT4V: Improving Large Multi-modal Models with Better Captions
This repo contains evaluation code for the paper "MileBench: Benchmarking MLLMs in Long Context"
Evaluation framework for paper "VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?"
This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"
Contains code and documentation for our VANE-Bench paper.
"Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA"
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