FreedomIntelligence / TRIMLinks
We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their performance.
☆15Updated 10 months ago
Alternatives and similar repositories for TRIM
Users that are interested in TRIM are comparing it to the libraries listed below
Sorting:
- Preference Learning for LLaVA☆51Updated 11 months ago
- The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…☆83Updated 9 months ago
- [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…☆59Updated 11 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated last year
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆48Updated 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
- Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".☆58Updated 2 years ago
- [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model☆47Updated 11 months ago
- An Enhanced CLIP Framework for Learning with Synthetic Captions☆37Updated 6 months ago
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning☆22Updated last year
- The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".☆34Updated 2 years ago
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆77Updated last month
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆88Updated last year
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 4 months ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆82Updated 11 months ago
- Implementation and dataset for paper "Can MLLMs Perform Text-to-Image In-Context Learning?"☆41Updated 4 months ago
- ☆91Updated last year
- [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- This repository contains the code of our paper 'Skip \n: A simple method to reduce hallucination in Large Vision-Language Models'.☆14Updated last year
- code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"☆59Updated last year
- ☆44Updated 11 months ago
- ☆50Updated 2 years ago
- [NeurIPS 2025] Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO☆58Updated last month
- Code for "AVG-LLaVA: A Multimodal Large Model with Adaptive Visual Granularity"☆32Updated last year
- COLA: Evaluate how well your vision-language model can Compose Objects Localized with Attributes!☆24Updated 11 months ago
- VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)☆38Updated this week
- Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types☆31Updated 3 months ago
- Official implementation of our paper "Finetuned Multimodal Language Models are High-Quality Image-Text Data Filters".☆67Updated 6 months ago
- Matryoshka Multimodal Models☆112Updated 9 months ago