FreedomIntelligence / MLLM-BenchLinks
MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
☆72Updated last year
Alternatives and similar repositories for MLLM-Bench
Users that are interested in MLLM-Bench are comparing it to the libraries listed below
Sorting:
- ☆101Updated 2 years ago
- Code for Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models☆92Updated last year
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆85Updated last year
- ☆66Updated 2 years ago
- The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…☆86Updated last year
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆100Updated 2 years ago
- [NeurIPS 2024] Needle In A Multimodal Haystack (MM-NIAH): A comprehensive benchmark designed to systematically evaluate the capability of…☆122Updated last year
- [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…☆62Updated last year
- A RLHF Infrastructure for Vision-Language Models☆195Updated last year
- ☆50Updated 2 years ago
- [NeurIPS 2024] MATH-Vision dataset and code to measure multimodal mathematical reasoning capabilities.☆128Updated 8 months ago
- Official repository of MMDU dataset☆103Updated last year
- Official code of *Virgo: A Preliminary Exploration on Reproducing o1-like MLLM*☆109Updated 8 months ago
- Official code for paper "UniIR: Training and Benchmarking Universal Multimodal Information Retrievers" (ECCV 2024)☆177Updated last year
- Harnessing 1.4M GPT4V-synthesized Data for A Lite Vision-Language Model☆281Updated last year
- [ICML 2024] | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI☆116Updated last year
- An benchmark for evaluating the capabilities of large vision-language models (LVLMs)☆46Updated 2 years ago
- (ACL 2025) MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale☆49Updated 8 months ago
- Preference Learning for LLaVA☆59Updated last year
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆69Updated last year
- Touchstone: Evaluating Vision-Language Models by Language Models☆83Updated 2 years ago
- code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"☆60Updated last year
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation☆153Updated 2 years ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆90Updated last year
- [TMLR] Public code repo for paper "A Single Transformer for Scalable Vision-Language Modeling"☆147Updated last year
- This repo contains evaluation code for the paper "MileBench: Benchmarking MLLMs in Long Context"☆36Updated last year
- A collection of visual instruction tuning datasets.☆76Updated last year
- VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)☆42Updated last month
- [CVPR'24] RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback☆306Updated last year
- [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"☆203Updated last year