| VW-LMM |
- GPT-4 score
- 44.0
|
Multi-modal Auto-regressive Modeling via Visual Words 2024-03-12 |
코드 1 |
| MoAI |
- GPT-4 score
- 43.7
- Params
- 7B
|
MoAI: Mixture of All Intelligence for Large Language and Vision Models 2024-03-12 |
코드 1 |
| MM1-3B-Chat |
- GPT-4 score
- 43.7
|
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training 2024-03-14 |
연결 없음 |
| MM1.5-3B-MoE |
- GPT-4 score
- 43.7
|
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning 2024-09-30 |
연결 없음 |
| Imp-3B |
- GPT-4 score
- 43.3
- Params
- 3B
|
Imp: Highly Capable Large Multimodal Models for Mobile Devices 2024-05-20 |
코드 1 |
| ShareGPT4V-13B |
- GPT-4 score
- 43.1
- Params
- 13B
|
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions 2023-11-21 |
코드 1 |
| Mini-Gemini (+MoCa) |
- GPT-4 score
- 42.9
|
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate 2024-10-09 |
코드 1 |
| MM1.5-7B |
- GPT-4 score
- 42.2
|
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning 2024-09-30 |
연결 없음 |
| MM1-7B-Chat |
- GPT-4 score
- 42.1
|
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training 2024-03-14 |
연결 없음 |
| FlashSloth |
- GPT-4 score
- 41.9
- Params
- 3.2B
|
FlashSloth: Lightning Multimodal Large Language Models via Embedded Visual Compression 2024-12-05 |
코드 1 |
| DeepSeek-VL |
- GPT-4 score
- 41.5
|
DeepSeek-VL: Towards Real-World Vision-Language Understanding 2024-03-08 |
코드 1 |
| LaVA1.5-13B-BPO |
- GPT-4 score
- 41.4
- Params
- 13B
|
Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization 2024-03-13 |
연결 없음 |
| ASMv2 |
- GPT-4 score
- 41.3
|
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World 2024-02-29 |
코드 1 |
| FocusLLaVA |
- GPT-4 score
- 41.3
|
FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression 2024-11-21 |
연결 없음 |
| SeVa-13B |
- GPT-4 score
- 41.0
|
Self-Supervised Visual Preference Alignment 2024-04-16 |
코드 1 |
| MM1.5-3B |
- GPT-4 score
- 41.0
|
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning 2024-09-30 |
연결 없음 |
| LLaVA-1.5-7B (VG-S) |
- GPT-4 score
- 40.4
|
ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models 2024-12-09 |
코드 1 |
| CoLLaVO |
- GPT-4 score
- 40.3
- Params
- 7B
|
CoLLaVO: Crayon Large Language and Vision mOdel 2024-02-17 |
코드 1 |
| SPHINX-2k |
- GPT-4 score
- 40.2
|
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models 2023-11-13 |
코드 1 |
| LLaVA-1.5 (LVIS-Instrcut4V) |
- GPT-4 score
- 40.2
- Params
- 13B
|
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning 2023-11-13 |
코드 1 · 코드 2 |
| mPLUG-Owl3 |
- GPT-4 score
- 40.1
|
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models 2024-08-09 |
코드 1 |
| Mono-InternVL-2B |
- GPT-4 score
- 40.1
- Params
- 2B
|
Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training 2024-10-10 |
연결 없음 |
| LLaVA1.5-13B-MDA |
- GPT-4 score
- 39.90
- Params
- 13B
|
Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance 2024-11-21 |
연결 없음 |
| LLaVA-VT (Vicuna-13B) |
- GPT-4 score
- 39.8
|
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning 2024-03-27 |
코드 1 |
| MM1.5-1B-MoE |
- GPT-4 score
- 39.8
|
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning 2024-09-30 |
연결 없음 |
| Janus-Pro-1B |
- GPT-4 score
- 39.8
|
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling 2025-01-29 |
코드 1 |
| SQ-LLaVA∗ |
- GPT-4 score
- 39.7
|
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant 2024-03-17 |
코드 1 · 코드 2 |
| OmniFusion (grid split + ruDocVQA) |
- GPT-4 score
- 39.40
|
OmniFusion Technical Report 2024-04-09 |
연결 없음 |
| DeepStack-L-HD (Vicuna-13B) |
- GPT-4 score
- 39.3
|
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs 2024-06-06 |
연결 없음 |
| LAF-13B |
- GPT-4 score
- 38.9
|
From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information 2024-01-31 |
연결 없음 |