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 | GPT-4V | https://arxiv.org/abs/2303.08774v5 | GPT-4 score | 67.7±0.3 |
Visual Question Answering | MM-Vet | GPT-4V-Turbo-detail:high | https://arxiv.org/abs/2303.08774v5 | GPT-4 score | 67.6±0.1 |
Visual Question Answering | MM-Vet | Qwen-VL-Max | https://arxiv.org/abs/2308.12966v3 | GPT-4 score | 66.6±0.5 |
Visual Question Answering | MM-Vet | Gemini 1.5 Pro (gemini-1.5-pro) | https://arxiv.org/abs/2403.05530v5 | GPT-4 score | 65.8±0.1 |
Visual Question Answering | MM-Vet | InternVL2-26B (SGP, token ratio 64%) | https://arxiv.org/abs/2412.03324v2 | GPT-4 score | 65.60 |
Visual Question Answering | MM-Vet | InternVL2-26B (SGP, token ratio 64%) | https://arxiv.org/abs/2412.03324v2 | Params | 26B |
Visual Question Answering | MM-Vet | Baichuan-Omni (7B) | https://arxiv.org/abs/2410.08565v4 | GPT-4 score | 65.4 |
Visual Question Answering | MM-Vet | InternVL2.5-26B | https://arxiv.org/abs/2412.05271v4 | GPT-4 score | 65.0 |
Visual Question Answering | MM-Vet | InternVL2.5-26B | https://arxiv.org/abs/2412.05271v4 | Params | 26B |
Visual Question Answering | MM-Vet | Qwen2-VL-7B (finetuned on GAP-VQA train) | https://arxiv.org/abs/2410.04038v2 | GPT-4 score | 64.954 |
Visual Question Answering | MM-Vet | InternVL2-Llama3-76B | null | GPT-4 score | 64.4 |
Visual Question Answering | MM-Vet | Gemini 1.0 Pro Vision (gemini-pro-vision) | https://arxiv.org/abs/2312.11805v5 | GPT-4 score | 64.3±0.4 |
Visual Question Answering | MM-Vet | GLM4 Vision | https://arxiv.org/abs/2311.03079v2 | GPT-4 score | 63.9 |
Visual Question Answering | MM-Vet | LLaVA-OneVision-72B | https://arxiv.org/abs/2408.03326v3 | GPT-4 score | 63.7 |
Visual Question Answering | MM-Vet | Lyra-Base | https://arxiv.org/abs/2412.09501v1 | GPT-4 score | 63.5 |
Visual Question Answering | MM-Vet | Lyra-Base | https://arxiv.org/abs/2412.09501v1 | Params | 9B |
Visual Question Answering | MM-Vet | InternVL2-26B (SGP, token ratio 35%) | https://arxiv.org/abs/2412.03324v2 | GPT-4 score | 63.20 |
Visual Question Answering | MM-Vet | InternVL2-26B (SGP, token ratio 35%) | https://arxiv.org/abs/2412.03324v2 | Params | 26B |
Visual Question Answering | MM-Vet | InternVL 1.5 | https://arxiv.org/abs/2404.16821v2 | GPT-4 score | 62.8 |
Visual Question Answering | MM-Vet | InternVL 1.5 | https://arxiv.org/abs/2404.16821v2 | Params | 26B |
Visual Question Answering | MM-Vet | InternVL2.5-8B | https://arxiv.org/abs/2412.05271v4 | GPT-4 score | 62.8 |
Visual Question Answering | MM-Vet | InternVL2.5-8B | https://arxiv.org/abs/2412.05271v4 | Params | 8B |
Visual Question Answering | MM-Vet | MAmmoTH-VL-8B | https://arxiv.org/abs/2412.05237v1 | GPT-4 score | 62.3 |
Visual Question Answering | MM-Vet | Qwen2-VL-7B | https://arxiv.org/abs/2409.12191v2 | GPT-4 score | 62.0 |
Visual Question Answering | MM-Vet | InternVL2-40B | null | GPT-4 score | 61.8 |
Visual Question Answering | MM-Vet | Qwen-VL-Plus | https://arxiv.org/abs/2308.12966v3 | GPT-4 score | 61.1±0.2 |
Visual Question Answering | MM-Vet | Mini-Gemini-HD-BS | https://arxiv.org/abs/2403.18814v1 | GPT-4 score | 60.8 |
Visual Question Answering | MM-Vet | InternVL2.5-2B | https://arxiv.org/abs/2412.05271v4 | GPT-4 score | 60.8 |
Visual Question Answering | MM-Vet | InternVL2.5-2B | https://arxiv.org/abs/2412.05271v4 | Params | 2B |
Visual Question Answering | MM-Vet | MAmmoTH-VL-8B (SI) | https://arxiv.org/abs/2412.05237v1 | GPT-4 score | 60.6 |
Visual Question Answering | MM-Vet | InternVL2.5-4B | https://arxiv.org/abs/2412.05271v4 | GPT-4 score | 60.6 |
Visual Question Answering | MM-Vet | InternVL2.5-4B | https://arxiv.org/abs/2412.05271v4 | Params | 4B |
Visual Question Answering | MM-Vet | GPT-4V-Turbo-detail:low | https://arxiv.org/abs/2303.08774v5 | GPT-4 score | 60.2±0.3 |
Visual Question Answering | MM-Vet | Mini-Gemini-HD | https://arxiv.org/abs/2403.18814v1 | GPT-4 score | 59.3 |
Visual Question Answering | MM-Vet | Claude 3 Opus (claude-3-opus-20240229) | null | GPT-4 score | 58.1±0.1 |
Visual Question Answering | MM-Vet | GLM-4V-9B | https://arxiv.org/abs/2408.16500v1 | GPT-4 score | 58.0 |
Visual Question Answering | MM-Vet | LLaVA-OneVision-7B | https://arxiv.org/abs/2408.03326v3 | GPT-4 score | 57.5 |
Visual Question Answering | MM-Vet | LLaVA-NeXT-34B | null | GPT-4 score | 57.4 |
Visual Question Answering | MM-Vet | LLaVA-NeXT-34B | null | Params | 34B |
Visual Question Answering | MM-Vet | Meteor | https://arxiv.org/abs/2405.15574v4 | GPT-4 score | 57.3 |
Visual Question Answering | MM-Vet | Meteor | https://arxiv.org/abs/2405.15574v4 | Params | 7B |
Visual Question Answering | MM-Vet | CROME (Vicuna-13B) | https://arxiv.org/abs/2408.06610v1 | GPT-4 score | 55.1 |
Visual Question Answering | MM-Vet | IXC2-4KHD | https://arxiv.org/abs/2404.06512v1 | GPT-4 score | 54.9 |
Visual Question Answering | MM-Vet | Weitu-VL-1.0 | null | GPT-4 score | 54.7 |
Visual Question Answering | MM-Vet | Weitu-VL-1.0 | null | Params | 15B |
Visual Question Answering | MM-Vet | TroL-7B | https://arxiv.org/abs/2406.12246v3 | GPT-4 score | 54.7 |
Visual Question Answering | MM-Vet | TroL-7B | https://arxiv.org/abs/2406.12246v3 | Params | 7B |
Visual Question Answering | MM-Vet | Mini-Gemini | https://arxiv.org/abs/2403.18814v1 | GPT-4 score | 53.0 |
Visual Question Answering | MM-Vet | CogVLM(Vicuna-7B) | https://arxiv.org/abs/2311.03079v2 | GPT-4 score | 52.8 |
Visual Question Answering | MM-Vet | CogVLM(Vicuna-7B) | https://arxiv.org/abs/2311.03079v2 | Params | 17B |
Visual Question Answering | MM-Vet | CogAgent | https://arxiv.org/abs/2312.08914v3 | GPT-4 score | 52.8 |
Visual Question Answering | MM-Vet | CogAgent | https://arxiv.org/abs/2312.08914v3 | Params | 18B |
Visual Question Answering | MM-Vet | Qwen2-VL-2B (finetuned on GAP-VQA train) | https://arxiv.org/abs/2410.04038v2 | GPT-4 score | 52.43 |
Visual Question Answering | MM-Vet | InternVL2-26B (SGP, token ratio 9%) | https://arxiv.org/abs/2412.03324v2 | GPT-4 score | 52.10 |
Visual Question Answering | MM-Vet | InternVL2-26B (SGP, token ratio 9%) | https://arxiv.org/abs/2412.03324v2 | Params | 26B |
Visual Question Answering | MM-Vet | MM1.5-30B | https://arxiv.org/abs/2409.20566v1 | GPT-4 score | 52.0 |
Visual Question Answering | MM-Vet | MiniCPM-Llama3-V-2.5-8B (finetuned on GAP-VQA train) | https://arxiv.org/abs/2410.04038v2 | GPT-4 score | 51.789 |
Visual Question Answering | MM-Vet | IXC-2.5-7B | https://arxiv.org/abs/2407.03320v1 | GPT-4 score | 51.7 |
Visual Question Answering | MM-Vet | InternLM-XComposer2 | https://arxiv.org/abs/2401.16420v1 | GPT-4 score | 51.2 |
Visual Question Answering | MM-Vet | Lyra-Mini | https://arxiv.org/abs/2412.09501v1 | GPT-4 score | 51.2 |
Visual Question Answering | MM-Vet | Lyra-Mini | https://arxiv.org/abs/2412.09501v1 | Params | 3B |
Visual Question Answering | MM-Vet | CuMo-7B | https://arxiv.org/abs/2405.05949v1 | GPT-4 score | 51.0 |
Visual Question Answering | MM-Vet | CuMo-7B | https://arxiv.org/abs/2405.05949v1 | Params | 7B |
Visual Question Answering | MM-Vet | TACO (Qwen2-7B / SigLIP) | https://arxiv.org/abs/2412.05479v2 | GPT-4 score | 50.9 |
Visual Question Answering | MM-Vet | Qwen-VL-Chat (+ SFT (GPT-4V in VLFeedback)) | https://arxiv.org/abs/2410.09421v2 | GPT-4 score | 50.7 |
Visual Question Answering | MM-Vet | POINTS-9B | https://arxiv.org/abs/2409.04828v3 | GPT-4 score | 50.0 |
Visual Question Answering | MM-Vet | VILA^2-8B | https://arxiv.org/abs/2407.17453v2 | GPT-4 score | 50.0 |
Visual Question Answering | MM-Vet | Janus-Pro-7B | https://arxiv.org/abs/2501.17811v1 | GPT-4 score | 50.0 |
Visual Question Answering | MM-Vet | Silkie | https://arxiv.org/abs/2312.10665v1 | GPT-4 score | 49.9 |
Visual Question Answering | MM-Vet | Silkie | https://arxiv.org/abs/2312.10665v1 | Params | 7B |
Visual Question Answering | MM-Vet | Silkie (Qwen-VL-Chat + DPO w/ VLFeedback) | https://arxiv.org/abs/2410.09421v2 | GPT-4 score | 49.9 |
Visual Question Answering | MM-Vet | Qwen2-VL-2B | https://arxiv.org/abs/2409.12191v2 | GPT-4 score | 49.5 |
Visual Question Answering | MM-Vet | FlashSloth-HD | https://arxiv.org/abs/2412.04317v1 | GPT-4 score | 49.0 |
Visual Question Answering | MM-Vet | FlashSloth-HD | https://arxiv.org/abs/2412.04317v1 | Params | 3.2B |
Visual Question Answering | MM-Vet | InternVL 1.2 | https://arxiv.org/abs/2404.16821v2 | GPT-4 score | 48.9 |
Visual Question Answering | MM-Vet | InternVL 1.2 | https://arxiv.org/abs/2404.16821v2 | Params | 40B |
Visual Question Answering | MM-Vet | SEA-PRIME (Vicuna-13B) | https://arxiv.org/abs/2408.11813v1 | GPT-4 score | 48.8 |
Visual Question Answering | MM-Vet | InternVL2.5-1B | https://arxiv.org/abs/2412.05271v4 | GPT-4 score | 48.8 |
Visual Question Answering | MM-Vet | InternVL2.5-1B | https://arxiv.org/abs/2412.05271v4 | Params | 1B |
Visual Question Answering | MM-Vet | MM1-30B-Chat | https://arxiv.org/abs/2403.09611v4 | GPT-4 score | 48.7 |
Visual Question Answering | MM-Vet | SETOKIM (13B) | https://arxiv.org/abs/2406.05127v3 | GPT-4 score | 48.7 |
Visual Question Answering | MM-Vet | SETOKIM (13B) | https://arxiv.org/abs/2406.05127v3 | Params | 13B |
Visual Question Answering | MM-Vet | Emu2-Chat | https://arxiv.org/abs/2312.13286v2 | GPT-4 score | 48.5 |
Visual Question Answering | MM-Vet | Emu2-Chat | https://arxiv.org/abs/2312.13286v2 | Params | 37B |
Visual Question Answering | MM-Vet | MG-LLaVA(34B) | https://arxiv.org/abs/2406.17770v2 | GPT-4 score | 48.5 |
Visual Question Answering | MM-Vet | SPHINX-Plus | https://arxiv.org/abs/2402.05935v2 | GPT-4 score | 47.9 |
Visual Question Answering | MM-Vet | ConvLLaVA | https://arxiv.org/abs/2405.15738v1 | GPT-4 score | 45.9 |
Visual Question Answering | MM-Vet | ConvLLaVA | https://arxiv.org/abs/2405.15738v1 | Params | 7B |
Visual Question Answering | MM-Vet | VILA-13B | https://arxiv.org/abs/2312.07533v4 | GPT-4 score | 45.7 |
Visual Question Answering | MM-Vet | TACO (LLaMA3-8B / SigLIP) | https://arxiv.org/abs/2412.05479v2 | GPT-4 score | 45.7 |
Visual Question Answering | MM-Vet | HPT 1.5 Edge | null | GPT-4 score | 45.3 |
Visual Question Answering | MM-Vet | TACO (LLaMA3-8B / CLIP) | https://arxiv.org/abs/2412.05479v2 | GPT-4 score | 45.2 |
Visual Question Answering | MM-Vet | LLaVA-v1.6 (7B, w/ STIC) | https://arxiv.org/abs/2405.19716v2 | GPT-4 score | 45.0 |
Visual Question Answering | MM-Vet | LLaVA-v1.6 (7B, w/ STIC) | https://arxiv.org/abs/2405.19716v2 | Params | 7B |
Visual Question Answering | MM-Vet | H2OVL-Mississippi-2B | https://arxiv.org/abs/2410.13611v1 | GPT-4 score | 44.7 |
Visual Question Answering | MM-Vet | PIIP-LLaVA (Vicuna-7B, ConvNeXt-L, CLIP-L ) | https://arxiv.org/abs/2501.07783v1 | GPT-4 score | 44.7 |
Visual Question Answering | MM-Vet | PIIP-LLaVA (Vicuna-7B, ConvNeXt-L, CLIP-L ) | https://arxiv.org/abs/2501.07783v1 | Params | 7B |
Visual Question Answering | MM-Vet | MM-ReAct-GPT-4 | https://arxiv.org/abs/2303.11381v1 | GPT-4 score | 44.6±0.2 |
Visual Question Answering | MM-Vet | Imp-4B | https://arxiv.org/abs/2405.12107v2 | GPT-4 score | 44.6 |
Visual Question Answering | MM-Vet | Imp-4B | https://arxiv.org/abs/2405.12107v2 | Params | 4B |
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