| TACO (Qwen2-7B / SigLIP) |
- GPT-4 score
- 50.9
|
TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action 2024-12-07 |
코드 1 |
| Qwen-VL-Chat (+ SFT (GPT-4V in VLFeedback)) |
- GPT-4 score
- 50.7
|
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment 2024-10-12 |
연결 없음 |
| POINTS-9B |
- GPT-4 score
- 50.0
|
POINTS: Improving Your Vision-language Model with Affordable Strategies 2024-09-07 |
연결 없음 |
| VILA^2-8B |
- GPT-4 score
- 50.0
|
VILA$^2$: VILA Augmented VILA 2024-07-24 |
연결 없음 |
| Janus-Pro-7B |
- GPT-4 score
- 50.0
|
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling 2025-01-29 |
코드 1 |
| Silkie |
- GPT-4 score
- 49.9
- Params
- 7B
|
Silkie: Preference Distillation for Large Visual Language Models 2023-12-17 |
연결 없음 |
| Silkie (Qwen-VL-Chat + DPO w/ VLFeedback) |
- GPT-4 score
- 49.9
|
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment 2024-10-12 |
연결 없음 |
| Qwen2-VL-2B |
- GPT-4 score
- 49.5
|
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution 2024-09-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |
| FlashSloth-HD |
- GPT-4 score
- 49.0
- Params
- 3.2B
|
FlashSloth: Lightning Multimodal Large Language Models via Embedded Visual Compression 2024-12-05 |
코드 1 |
| InternVL 1.2 |
- GPT-4 score
- 48.9
- Params
- 40B
|
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites 2024-04-25 |
코드 1 |
| SEA-PRIME (Vicuna-13B) |
- GPT-4 score
- 48.8
|
SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs 2024-08-21 |
연결 없음 |
| InternVL2.5-1B |
- GPT-4 score
- 48.8
- Params
- 1B
|
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling 2024-12-06 |
코드 1 |
| MM1-30B-Chat |
- GPT-4 score
- 48.7
|
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training 2024-03-14 |
연결 없음 |
| SETOKIM (13B) |
- GPT-4 score
- 48.7
- Params
- 13B
|
Towards Semantic Equivalence of Tokenization in Multimodal LLM 2024-06-07 |
연결 없음 |
| Emu2-Chat |
- GPT-4 score
- 48.5
- Params
- 37B
|
Generative Multimodal Models are In-Context Learners 2023-12-20 |
코드 1 |
| MG-LLaVA(34B) |
- GPT-4 score
- 48.5
|
MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning 2024-06-25 |
코드 1 |
| SPHINX-Plus |
- GPT-4 score
- 47.9
|
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models 2024-02-08 |
코드 1 |
| ConvLLaVA |
- GPT-4 score
- 45.9
- Params
- 7B
|
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models 2024-05-24 |
코드 1 |
| VILA-13B |
- GPT-4 score
- 45.7
|
VILA: On Pre-training for Visual Language Models 2023-12-12 |
코드 1 · 코드 2 · 코드 3 |
| TACO (LLaMA3-8B / SigLIP) |
- GPT-4 score
- 45.7
|
TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action 2024-12-07 |
코드 1 |
| HPT 1.5 Edge |
- GPT-4 score
- 45.3
|
연결 없음 논문 날짜 미기재 |
연결 없음 |
| TACO (LLaMA3-8B / CLIP) |
- GPT-4 score
- 45.2
|
TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action 2024-12-07 |
코드 1 |
| LLaVA-v1.6 (7B, w/ STIC) |
- GPT-4 score
- 45.0
- Params
- 7B
|
Enhancing Large Vision Language Models with Self-Training on Image Comprehension 2024-05-30 |
코드 1 |
| H2OVL-Mississippi-2B |
- GPT-4 score
- 44.7
|
H2OVL-Mississippi Vision Language Models Technical Report 2024-10-17 |
연결 없음 |
| PIIP-LLaVA (Vicuna-7B, ConvNeXt-L, CLIP-L ) |
- GPT-4 score
- 44.7
- Params
- 7B
|
Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding 2025-01-14 |
코드 1 |
| MM-ReAct-GPT-4 |
- GPT-4 score
- 44.6±0.2
|
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action 2023-03-20 |
코드 1 |
| Imp-4B |
- GPT-4 score
- 44.6
- Params
- 4B
|
Imp: Highly Capable Large Multimodal Models for Mobile Devices 2024-05-20 |
코드 1 |
| LLaVA-Next-Mistral-7b (+ DPO w/ VLFeedback) |
- GPT-4 score
- 44.2
|
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment 2024-10-12 |
연결 없음 |
| MGM-7B+RP |
- GPT-4 score
- 44.1
|
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models 2024-08-08 |
연결 없음 |
| LLaVA-Next-Vicuna-7b (+ DPO w/ VLFeedback) |
- GPT-4 score
- 44.1
|
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment 2024-10-12 |
연결 없음 |