mm-cot

Multimodal reasoning model

An implementation of multimodal chain-of-thought reasoning in language models using a decoupled training framework for rationale generation and answer inference.

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

GitHub

4k stars
56 watching
317 forks
Language: Python
last commit: 7 months ago

Related projects:

Repository Description Stars
deepcs233/visual-cot A framework for training multi-modal language models with a focus on visual inputs and providing interpretable thoughts. 162
pku-yuangroup/moe-llava A large vision-language model using a mixture-of-experts architecture to improve performance on multi-modal learning tasks 2,023
dvlab-research/mgm An open-source framework for training large language models with vision capabilities. 3,229
karpathy/neuraltalk A system for generating image descriptions using neural networks 5,414
soolab/ddcot This implementation provides tools and methods for multimodal reasoning in language models through prompting. 35
lupantech/scienceqa A dataset and software framework for building multimodal reasoning systems to answer science questions. 615
nvlabs/prismer A deep learning framework for training multi-modal models with vision and language capabilities. 1,299
subho406/omninet An implementation of a unified architecture for multi-modal multi-task learning using PyTorch. 515
yiren-jian/blitext Develops and trains models for vision-language learning with decoupled language pre-training 24
dair-ai/ml-papers-explained An explanation of key concepts and advancements in the field of Machine Learning 7,352
open-mmlab/mmcv Provides a foundational library for computer vision research and training deep learning models with high-quality implementation of common CPU and CUDA ops. 5,948
ucsc-vlaa/sight-beyond-text An implementation of a multimodal LLM training paradigm to enhance truthfulness and ethics in language models 19
byungkwanlee/moai Improves performance of vision language tasks by integrating computer vision capabilities into large language models 314
qubvel-org/segmentation_models.pytorch A comprehensive library for training and applying deep learning models for image segmentation 9,829
hxyou/idealgpt A deep learning framework for iteratively decomposing vision and language reasoning via large language models. 32