task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Visual Question Answering | MM-Vet | LLaVA-Next-Mistral-7b (+ DPO w/ VLFeedback) | https://arxiv.org/abs/2410.09421v2 | GPT-4 score | 44.2 |
Visual Question Answering | MM-Vet | MGM-7B+RP | https://arxiv.org/abs/2408.04594v3 | GPT-4 score | 44.1 |
Visual Question Answering | MM-Vet | LLaVA-Next-Vicuna-7b (+ DPO w/ VLFeedback) | https://arxiv.org/abs/2410.09421v2 | GPT-4 score | 44.1 |
Visual Question Answering | MM-Vet | VW-LMM | https://arxiv.org/abs/2403.07720v2 | GPT-4 score | 44.0 |
Visual Question Answering | MM-Vet | MoAI | https://arxiv.org/abs/2403.07508v3 | GPT-4 score | 43.7 |
Visual Question Answering | MM-Vet | MoAI | https://arxiv.org/abs/2403.07508v3 | Params | 7B |
Visual Question Answering | MM-Vet | MM1-3B-Chat | https://arxiv.org/abs/2403.09611v4 | GPT-4 score | 43.7 |
Visual Question Answering | MM-Vet | MM1.5-3B-MoE | https://arxiv.org/abs/2409.20566v1 | GPT-4 score | 43.7 |
Visual Question Answering | MM-Vet | Imp-3B | https://arxiv.org/abs/2405.12107v2 | GPT-4 score | 43.3 |
Visual Question Answering | MM-Vet | Imp-3B | https://arxiv.org/abs/2405.12107v2 | Params | 3B |
Visual Question Answering | MM-Vet | ShareGPT4V-13B | https://arxiv.org/abs/2311.12793v2 | GPT-4 score | 43.1 |
Visual Question Answering | MM-Vet | ShareGPT4V-13B | https://arxiv.org/abs/2311.12793v2 | Params | 13B |
Visual Question Answering | MM-Vet | Mini-Gemini (+MoCa) | https://arxiv.org/abs/2410.07167v2 | GPT-4 score | 42.9 |
Visual Question Answering | MM-Vet | MM1.5-7B | https://arxiv.org/abs/2409.20566v1 | GPT-4 score | 42.2 |
Visual Question Answering | MM-Vet | MM1-7B-Chat | https://arxiv.org/abs/2403.09611v4 | GPT-4 score | 42.1 |
Visual Question Answering | MM-Vet | FlashSloth | https://arxiv.org/abs/2412.04317v1 | GPT-4 score | 41.9 |
Visual Question Answering | MM-Vet | FlashSloth | https://arxiv.org/abs/2412.04317v1 | Params | 3.2B |
Visual Question Answering | MM-Vet | DeepSeek-VL | https://arxiv.org/abs/2403.05525v2 | GPT-4 score | 41.5 |
Visual Question Answering | MM-Vet | LaVA1.5-13B-BPO | https://arxiv.org/abs/2403.08730v2 | GPT-4 score | 41.4 |
Visual Question Answering | MM-Vet | LaVA1.5-13B-BPO | https://arxiv.org/abs/2403.08730v2 | Params | 13B |
Visual Question Answering | MM-Vet | ASMv2 | https://arxiv.org/abs/2402.19474v4 | GPT-4 score | 41.3 |
Visual Question Answering | MM-Vet | FocusLLaVA | https://arxiv.org/abs/2411.14228v1 | GPT-4 score | 41.3 |
Visual Question Answering | MM-Vet | SeVa-13B | https://arxiv.org/abs/2404.10501v2 | GPT-4 score | 41.0 |
Visual Question Answering | MM-Vet | MM1.5-3B | https://arxiv.org/abs/2409.20566v1 | GPT-4 score | 41.0 |
Visual Question Answering | MM-Vet | LLaVA-1.5-7B (VG-S) | https://arxiv.org/abs/2412.07012v3 | GPT-4 score | 40.4 |
Visual Question Answering | MM-Vet | CoLLaVO | https://arxiv.org/abs/2402.11248v4 | GPT-4 score | 40.3 |
Visual Question Answering | MM-Vet | CoLLaVO | https://arxiv.org/abs/2402.11248v4 | Params | 7B |
Visual Question Answering | MM-Vet | SPHINX-2k | https://arxiv.org/abs/2311.07575v1 | GPT-4 score | 40.2 |
Visual Question Answering | MM-Vet | LLaVA-1.5 (LVIS-Instrcut4V) | https://arxiv.org/abs/2311.07574v2 | GPT-4 score | 40.2 |
Visual Question Answering | MM-Vet | LLaVA-1.5 (LVIS-Instrcut4V) | https://arxiv.org/abs/2311.07574v2 | Params | 13B |
Visual Question Answering | MM-Vet | mPLUG-Owl3 | https://arxiv.org/abs/2408.04840v2 | GPT-4 score | 40.1 |
Visual Question Answering | MM-Vet | Mono-InternVL-2B | https://arxiv.org/abs/2410.08202v2 | GPT-4 score | 40.1 |
Visual Question Answering | MM-Vet | Mono-InternVL-2B | https://arxiv.org/abs/2410.08202v2 | Params | 2B |
Visual Question Answering | MM-Vet | LLaVA1.5-13B-MDA | https://arxiv.org/abs/2411.14279v1 | GPT-4 score | 39.90 |
Visual Question Answering | MM-Vet | LLaVA1.5-13B-MDA | https://arxiv.org/abs/2411.14279v1 | Params | 13B |
Visual Question Answering | MM-Vet | LLaVA-VT (Vicuna-13B) | https://arxiv.org/abs/2403.18252v2 | GPT-4 score | 39.8 |
Visual Question Answering | MM-Vet | MM1.5-1B-MoE | https://arxiv.org/abs/2409.20566v1 | GPT-4 score | 39.8 |
Visual Question Answering | MM-Vet | Janus-Pro-1B | https://arxiv.org/abs/2501.17811v1 | GPT-4 score | 39.8 |
Visual Question Answering | MM-Vet | SQ-LLaVA∗ | https://arxiv.org/abs/2403.11299v2 | GPT-4 score | 39.7 |
Visual Question Answering | MM-Vet | OmniFusion (grid split + ruDocVQA) | https://arxiv.org/abs/2404.06212v1 | GPT-4 score | 39.40 |
Visual Question Answering | MM-Vet | DeepStack-L-HD (Vicuna-13B) | https://arxiv.org/abs/2406.04334v1 | GPT-4 score | 39.3 |
Visual Question Answering | MM-Vet | LAF-13B | https://arxiv.org/abs/2401.17981v3 | GPT-4 score | 38.9 |
Visual Question Answering | MM-Vet | InfiMM-HD | https://arxiv.org/abs/2403.01487v1 | GPT-4 score | 38.9 |
Visual Question Answering | MM-Vet | InternLM-XC2 + MMDU-45k | https://arxiv.org/abs/2406.11833v2 | GPT-4 score | 38.8 |
Visual Question Answering | MM-Vet | LLaVA-1.5-7B (DC-S) | https://arxiv.org/abs/2412.07012v3 | GPT-4 score | 38.5 |
Visual Question Answering | MM-Vet | LayoutLMv3+ConvNeXt+CLIP | https://arxiv.org/abs/2401.17221v1 | GPT-4 score | 38.4 |
Visual Question Answering | MM-Vet | LayoutLMv3+ConvNeXt+CLIP | https://arxiv.org/abs/2401.17221v1 | Params | 7.9B |
Visual Question Answering | MM-Vet | VOLCANO 13B | https://arxiv.org/abs/2311.07362v4 | GPT-4 score | 38.0 |
Visual Question Answering | MM-Vet | VOLCANO 13B | https://arxiv.org/abs/2311.07362v4 | Params | 13B |
Visual Question Answering | MM-Vet | LLaVA-1.5+MMInstruct (Vicuna-13B) | https://arxiv.org/abs/2407.15838v2 | GPT-4 score | 37.9 |
Visual Question Answering | MM-Vet | LLaVA-1.5-13B (+CSR) | https://arxiv.org/abs/2405.14622v4 | GPT-4 score | 37.8 |
Visual Question Answering | MM-Vet | LLaVA-1.5-13B (+CSR) | https://arxiv.org/abs/2405.14622v4 | Params | 13B |
Visual Question Answering | MM-Vet | LLaVA-1.5-LLaMA3-8B | https://arxiv.org/abs/2406.08478v2 | GPT-4 score | 37.8 |
Visual Question Answering | MM-Vet | LLaVA-1.5 + DenseFusion-1M (Vicuna-7B) | https://arxiv.org/abs/2407.08303v2 | GPT-4 score | 37.8 |
Visual Question Answering | MM-Vet | ShareGPT4V-7B | https://arxiv.org/abs/2311.12793v2 | GPT-4 score | 37.6 |
Visual Question Answering | MM-Vet | ShareGPT4V-7B | https://arxiv.org/abs/2311.12793v2 | Params | 7B |
Visual Question Answering | MM-Vet | LLaVA-1.5+CoS | https://arxiv.org/abs/2403.12966v2 | GPT-4 score | 37.6 |
Visual Question Answering | MM-Vet | LLaVA-COCO-13B | https://arxiv.org/abs/2401.08968v1 | GPT-4 score | 37.5 |
Visual Question Answering | MM-Vet | LLaVA-S^2 + DenseFusion-1M (Vicuna-7B) | https://arxiv.org/abs/2407.08303v2 | GPT-4 score | 37.5 |
Visual Question Answering | MM-Vet | MM1.5-1B | https://arxiv.org/abs/2409.20566v1 | GPT-4 score | 37.4 |
Visual Question Answering | MM-Vet | Dynamic-LLaVA-13B | https://arxiv.org/abs/2412.00876v3 | GPT-4 score | 37.3 |
Visual Question Answering | MM-Vet | SeVa-7B | https://arxiv.org/abs/2404.10501v2 | GPT-4 score | 37.2 |
Visual Question Answering | MM-Vet | SoM-LLaVA-1.5-T | https://arxiv.org/abs/2404.16375v2 | GPT-4 score | 37.2 |
Visual Question Answering | MM-Vet | Emu3 | https://arxiv.org/abs/2409.18869v1 | GPT-4 score | 37.2 |
Visual Question Answering | MM-Vet | LLaVA-Instruct (Vicuna-1.5-13B) | https://arxiv.org/abs/2406.19736v1 | GPT-4 score | 37.1 |
Visual Question Answering | MM-Vet | ILLUME | https://arxiv.org/abs/2412.06673v1 | GPT-4 score | 37.0 |
Visual Question Answering | MM-Vet | LLaVA1.5-7B-BPO | https://arxiv.org/abs/2403.08730v2 | GPT-4 score | 36.8 |
Visual Question Answering | MM-Vet | LLaVA1.5-7B-BPO | https://arxiv.org/abs/2403.08730v2 | Params | 7B |
Visual Question Answering | MM-Vet | LLaVA-1.5-13B (+ MMFuser) | https://arxiv.org/abs/2410.11829v1 | GPT-4 score | 36.6 |
Visual Question Answering | MM-Vet | CaMML-13B | https://arxiv.org/abs/2401.03149v3 | GPT-4 score | 36.4 |
Visual Question Answering | MM-Vet | LLaVA-65B (Data Mixing) | https://arxiv.org/abs/2309.09958v1 | GPT-4 score | 36.4 |
Visual Question Answering | MM-Vet | LLaVA-1.5-13B | https://arxiv.org/abs/2310.03744v2 | GPT-4 score | 36.3±0.2 |
Visual Question Answering | MM-Vet | LLaVA-1.5-13B | https://arxiv.org/abs/2310.03744v2 | Params | 13B |
Visual Question Answering | MM-Vet | Emu-14B | https://arxiv.org/abs/2307.05222v2 | GPT-4 score | 36.3±0.3 |
Visual Question Answering | MM-Vet | Emu-14B | https://arxiv.org/abs/2307.05222v2 | Params | 14B |
Visual Question Answering | MM-Vet | mPLUG-Owl2 | https://arxiv.org/abs/2311.04257v2 | GPT-4 score | 36.3±0.1 |
Visual Question Answering | MM-Vet | mPLUG-Owl2 | https://arxiv.org/abs/2311.04257v2 | Params | 7B |
Visual Question Answering | MM-Vet | Vary-base | https://arxiv.org/abs/2312.06109v1 | GPT-4 score | 36.2 |
Visual Question Answering | MM-Vet | StableLLaVA | https://arxiv.org/abs/2308.10253v2 | GPT-4 score | 36.1 |
Visual Question Answering | MM-Vet | DreamLLM-7B | https://arxiv.org/abs/2309.11499v2 | GPT-4 score | 35.9 |
Visual Question Answering | MM-Vet | DreamLLM-7B | https://arxiv.org/abs/2309.11499v2 | Params | 7B |
Visual Question Answering | MM-Vet | MoE-LLaVA-2.7B×4-Top2 | https://arxiv.org/abs/2401.15947v5 | GPT-4 score | 35.9 |
Visual Question Answering | MM-Vet | SoM-LLaVA-1.5 | https://arxiv.org/abs/2404.16375v2 | GPT-4 score | 35.9 |
Visual Question Answering | MM-Vet | Dragonfly (Llama3-8B) | https://arxiv.org/abs/2406.00977v2 | GPT-4 score | 35.9 |
Visual Question Answering | MM-Vet | Ferret-v2-13B | https://arxiv.org/abs/2404.07973v1 | GPT-4 score | 35.7 |
Visual Question Answering | MM-Vet | AlignGPT (Vicuna-13B) | https://arxiv.org/abs/2405.14129v2 | GPT-4 score | 35.6 |
Visual Question Answering | MM-Vet | LLaVA-HR-X | https://arxiv.org/abs/2403.03003v1 | GPT-4 score | 35.5 |
Visual Question Answering | MM-Vet | SQ-LLaVA | https://arxiv.org/abs/2403.11299v2 | GPT-4 score | 35.5 |
Visual Question Answering | MM-Vet | LOVA$^3$ | https://arxiv.org/abs/2405.14974v2 | GPT-4 score | 35.2 |
Visual Question Answering | MM-Vet | LOVA$^3$ | https://arxiv.org/abs/2405.14974v2 | Params | 7B |
Visual Question Answering | MM-Vet | LLaVA-InternLM2-7B-ViT + MoSLoRA | https://arxiv.org/abs/2406.11909v3 | GPT-4 score | 35.2 |
Visual Question Answering | MM-Vet | InternLM2+ViT (QMoSLoRA) | https://arxiv.org/abs/2406.11909v3 | GPT-4 score | 35.2 |
Visual Question Answering | MM-Vet | LLaVA1.5-7B-MDA | https://arxiv.org/abs/2411.14279v1 | GPT-4 score | 35.20 |
Visual Question Answering | MM-Vet | LLaVA1.5-7B-MDA | https://arxiv.org/abs/2411.14279v1 | Params | 7B |
Visual Question Answering | MM-Vet | Mipha-3B+ | https://arxiv.org/abs/2407.04681v1 | GPT-4 score | 35.1 |
Visual Question Answering | MM-Vet | LLaVA-Plus-13B (All Tools, V1.3, 336px) | https://arxiv.org/abs/2311.05437v1 | GPT-4 score | 35.0±0.0 |
Visual Question Answering | MM-Vet | LLaVA-Plus-13B (All Tools, V1.3, 336px) | https://arxiv.org/abs/2311.05437v1 | Params | 13B |
Visual Question Answering | MM-Vet | Merlin | https://arxiv.org/abs/2312.00589v2 | GPT-4 score | 34.9 |
Visual Question Answering | MM-Vet | Arcana | https://arxiv.org/abs/2410.13733v1 | GPT-4 score | 34.8 |
Visual Question Answering | MM-Vet | INF-LLaVA | https://arxiv.org/abs/2407.16198v1 | GPT-4 score | 34.5 |
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