zchoi / Multi-Modal-Large-Language-Learning
Awesome multi-modal large language paper/project, collections of popular training strategies, e.g., PEFT, LoRA.
☆27Updated 8 months ago
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
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆82Updated last year
- [ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs☆114Updated 5 months ago
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆146Updated 11 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆78Updated 2 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆83Updated 11 months ago
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation☆117Updated last year
- Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)☆67Updated last month
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆46Updated 6 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆72Updated 5 months ago
- ☆53Updated 5 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆64Updated 4 months ago
- 🔥 Omni large models and datasets for understanding and generating multi-modalities.☆15Updated 6 months ago
- [ECCV 2024] API: Attention Prompting on Image for Large Vision-Language Models☆85Updated 6 months ago
- 🔥🔥🔥Code for "Empowering Multimodal Large Language Models with Evol-Instruct"☆14Updated 2 months ago
- ☆17Updated 8 months ago
- CLIP-MoE: Mixture of Experts for CLIP☆31Updated 6 months ago
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆52Updated 2 months ago
- A Survey on Benchmarks of Multimodal Large Language Models☆100Updated last month
- Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models☆76Updated 7 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆65Updated 10 months ago
- MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria☆69Updated 6 months ago
- The official GitHub page for paper "NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional St…☆21Updated 11 months ago
- The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆205Updated last year
- [ECCV 2024] BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models☆85Updated 8 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆71Updated 10 months ago
- 😎 curated list of awesome LMM hallucinations papers, methods & resources.☆150Updated last year
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆50Updated 5 months ago
- ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration☆30Updated 3 months ago
- mPLUG-HalOwl: Multimodal Hallucination Evaluation and Mitigating☆94Updated last year
- The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…☆76Updated 3 months ago