Atomic-man007 / Awesome_Multimodel_LLM
Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.
☆315Updated last month
Alternatives and similar repositories for Awesome_Multimodel_LLM:
Users that are interested in Awesome_Multimodel_LLM are comparing it to the libraries listed below
- Efficient Multimodal Large Language Models: A Survey☆337Updated last month
- This repository provides valuable reference for researchers in the field of multimodality, please start your exploratory travel in RL-bas…☆663Updated this week
- Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey☆507Updated this week
- 📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).☆655Updated 2 weeks ago
- Reading notes about Multimodal Large Language Models, Large Language Models, and Diffusion Models☆382Updated 2 weeks ago
- [NeurIPS 2023 Datasets and Benchmarks Track] LAMM: Multi-Modal Large Language Models and Applications as AI Agents☆311Updated last year
- [CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allo…☆332Updated 8 months ago
- [Neurips'24 Spotlight] Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought …☆298Updated 4 months ago
- A jounery to real multimodel R1 ! We are doing on large-scale experiment☆295Updated last month
- [MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models☆286Updated 2 months ago
- Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.☆621Updated this week
- Awesome RL-based LLM Reasoning☆450Updated last week
- Research Trends in LLM-guided Multimodal Learning.☆358Updated last year
- [CVPR'24] RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback☆276Updated 7 months ago
- ☆425Updated 7 months ago
- This is the first paper to explore how to effectively use RL for MLLMs and introduce Vision-R1, a reasoning MLLM that leverages cold-sta…☆527Updated last week
- MM-EUREKA: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning☆574Updated this week
- A curated list of awesome Multimodal studies.☆183Updated 2 weeks ago
- (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.☆337Updated 3 months ago
- ✨First Open-Source R1-like Video-LLM [2025/02/18]☆325Updated 2 months ago
- MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU☆347Updated last year
- A paper list of some recent works about Token Compress for Vit and VLM☆430Updated last week
- ☆328Updated last year
- Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"☆201Updated 7 months ago
- This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation …☆453Updated last month
- A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision,…☆290Updated 2 months ago
- Explore the Multimodal “Aha Moment” on 2B Model☆577Updated last month
- Extend OpenRLHF to support LMM RL training for reproduction of DeepSeek-R1 on multimodal tasks.☆728Updated this week
- 😎 curated list of awesome LMM hallucinations papers, methods & resources.☆150Updated last year
- [CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding☆267Updated 6 months ago