zchoi / Multi-Modal-Large-Language-LearningLinks
Awesome multi-modal large language paper/project, collections of popular training strategies, e.g., PEFT, LoRA.
☆27Updated last year
Alternatives and similar repositories for Multi-Modal-Large-Language-Learning
Users that are interested in Multi-Modal-Large-Language-Learning are comparing it to the libraries listed below
Sorting:
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆92Updated last week
- [ECCV 2024] BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models☆86Updated last year
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆82Updated 6 months ago
- An benchmark for evaluating the capabilities of large vision-language models (LVLMs)☆46Updated last year
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆149Updated last year
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆55Updated 10 months ago
- A Survey on Benchmarks of Multimodal Large Language Models☆134Updated 2 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆87Updated last year
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆91Updated last year
- The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…☆83Updated 7 months ago
- HallE-Control: Controlling Object Hallucination in LMMs☆31Updated last year
- [NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model☆88Updated last year
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 2 months ago
- [NeurIPS 2024] MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models☆69Updated 3 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆99Updated 8 months ago
- Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models☆67Updated last month
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆79Updated 9 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year
- Multimodal Instruction Tuning with Conditional Mixture of LoRA (ACL 2024)☆31Updated last year
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs☆135Updated 9 months ago
- [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.☆78Updated 6 months ago
- mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating☆96Updated last year
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆80Updated 3 months ago
- [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in…☆145Updated last month
- VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models☆72Updated last year
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆90Updated 10 months ago
- [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model☆46Updated 9 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆48Updated last year
- VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)☆36Updated 5 months ago
- Visual self-questioning for large vision-language assistant.☆43Updated last month