AIFEG / BenchLMMLinks
[ECCV 2024] BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models
☆86Updated last year
Alternatives and similar repositories for BenchLMM
Users that are interested in BenchLMM are comparing it to the libraries listed below
Sorting:
- [ACL2025] Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models☆78Updated 5 months ago
- ☆100Updated 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 8 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆88Updated last year
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆95Updated 2 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆49Updated last year
- Official repo for StableLLAVA☆94Updated last year
- [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…☆59Updated last year
- [ICLR 2025] VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning☆65Updated last month
- [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model☆48Updated last year
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 5 months ago
- VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)☆38Updated 3 weeks ago
- Emergent Visual Grounding in Large Multimodal Models Without Grounding Supervision☆41Updated 3 weeks ago
- [NeurIPS2023] Official implementation of the paper "Large Language Models are Visual Reasoning Coordinators"☆103Updated 2 years ago
- We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their…☆15Updated 11 months ago
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆91Updated last year
- [NeurIPS 2024] MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models☆74Updated 6 months ago
- Visual self-questioning for large vision-language assistant.☆45Updated 3 months ago
- An benchmark for evaluating the capabilities of large vision-language models (LVLMs)☆45Updated last year
- ☆91Updated last year
- LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation☆133Updated 2 years ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated 3 weeks ago
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context☆168Updated last year
- Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".☆58Updated 2 years ago
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆57Updated last year
- FreeVA: Offline MLLM as Training-Free Video Assistant☆65Updated last year
- [ICLR2025] Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want☆89Updated 5 months ago
- A collection of visual instruction tuning datasets.☆76Updated last year