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-1.5+MMInstruct (Vicuna-7B) | https://arxiv.org/abs/2407.15838v2 | GPT-4 score | 34.4 |
Visual Question Answering | MM-Vet | Janus | https://arxiv.org/abs/2410.13848v1 | GPT-4 score | 34.3 |
Visual Question Answering | MM-Vet | LLaVA-TokenPacker (Vicuna-13B) | https://arxiv.org/abs/2407.02392v4 | GPT-4 score | 34.1 |
Visual Question Answering | MM-Vet | γ-MoD-LLaVA-HR | https://arxiv.org/abs/2410.13859v1 | GPT-4 score | 34.0 |
Visual Question Answering | MM-Vet | LLaVA-1.5-7B (CSR) | https://arxiv.org/abs/2405.14622v4 | GPT-4 score | 33.9 |
Visual Question Answering | MM-Vet | LLaVA-1.5-7B (CSR) | https://arxiv.org/abs/2405.14622v4 | Params | 7B |
Visual Question Answering | MM-Vet | DynMOE-LLaVA | https://arxiv.org/abs/2405.14297v3 | GPT-4 score | 33.6 |
Visual Question Answering | MM-Vet | Imp-2B | https://arxiv.org/abs/2405.12107v2 | GPT-4 score | 33.5 |
Visual Question Answering | MM-Vet | Imp-2B | https://arxiv.org/abs/2405.12107v2 | Params | 2B |
Visual Question Answering | MM-Vet | InfMLLM-7B-Chat | https://arxiv.org/abs/2311.06791v2 | GPT-4 score | 33.4 |
Visual Question Answering | MM-Vet | Video-LaVIT | https://arxiv.org/abs/2402.03161v3 | GPT-4 score | 33.2 |
Visual Question Answering | MM-Vet | Video-LaVIT | https://arxiv.org/abs/2402.03161v3 | Params | 7B |
Visual Question Answering | MM-Vet | LLaVA-Instruct (Vicuna-1.5-7B) | https://arxiv.org/abs/2406.19736v1 | GPT-4 score | 32.9 |
Visual Question Answering | MM-Vet | VisionZip (Retain 128 Tokens, fine-tuning) | https://arxiv.org/abs/2412.04467v1 | GPT-4 score | 32.9 |
Visual Question Answering | MM-Vet | Uni-MoE | https://arxiv.org/abs/2405.11273v1 | GPT-4 score | 32.8 |
Visual Question Answering | MM-Vet | VL-Mamba (Mamba LLM-2.8B) | https://arxiv.org/abs/2403.13600v1 | GPT-4 score | 32.6 |
Visual Question Answering | MM-Vet | LLaVA-v1.5 (7B, w/ STIC) | https://arxiv.org/abs/2405.19716v2 | GPT-4 score | 32.6 |
Visual Question Answering | MM-Vet | LLaVA-v1.5 (7B, w/ STIC) | https://arxiv.org/abs/2405.19716v2 | Params | 7B |
Visual Question Answering | MM-Vet | VisionZip (Retain 192 Tokens, fine-tuning) | https://arxiv.org/abs/2412.04467v1 | GPT-4 score | 32.6 |
Visual Question Answering | MM-Vet | VisionZip (Retain 128 Tokens) | https://arxiv.org/abs/2412.04467v1 | GPT-4 score | 32.6 |
Visual Question Answering | MM-Vet | LLaVA-v1.5 (+MoCa) | https://arxiv.org/abs/2410.07167v2 | GPT-4 score | 32.2 |
Visual Question Answering | MM-Vet | Dynamic-LLaVA-7B | https://arxiv.org/abs/2412.00876v3 | GPT-4 score | 32.2 |
Visual Question Answering | MM-Vet | Mipha-3B | https://arxiv.org/abs/2403.06199v4 | GPT-4 score | 32.1 |
Visual Question Answering | MM-Vet | Mipha-3B | https://arxiv.org/abs/2403.06199v4 | Params | 3B |
Visual Question Answering | MM-Vet | VOLCANO 7B | https://arxiv.org/abs/2311.07362v4 | GPT-4 score | 32.0 |
Visual Question Answering | MM-Vet | VOLCANO 7B | https://arxiv.org/abs/2311.07362v4 | Params | 7B |
Visual Question Answering | MM-Vet | Video-LLaVA | https://arxiv.org/abs/2311.10122v3 | GPT-4 score | 32.0 |
Visual Question Answering | MM-Vet | TinyLLaVA-share-Sig-Ph | https://arxiv.org/abs/2402.14289v1 | GPT-4 score | 32.0 |
Visual Question Answering | MM-Vet | TinyLLaVA-share-Sig-Ph | https://arxiv.org/abs/2402.14289v1 | Params | 3.1B |
Visual Question Answering | MM-Vet | LLaVA-VT (Vicuna-7B) | https://arxiv.org/abs/2403.18252v2 | GPT-4 score | 31.8 |
Visual Question Answering | MM-Vet | LRV-Instruction-7B | https://arxiv.org/abs/2306.14565v4 | GPT-4 score | 31.7±0.1 |
Visual Question Answering | MM-Vet | LRV-Instruction-7B | https://arxiv.org/abs/2306.14565v4 | Params | 7B |
Visual Question Answering | MM-Vet | VisionZip (Retain 192 Tokens) | https://arxiv.org/abs/2412.04467v1 | GPT-4 score | 31.7 |
Visual Question Answering | MM-Vet | VisionZip (Retain 64 Tokens) | https://arxiv.org/abs/2412.04467v1 | GPT-4 score | 31.7 |
Visual Question Answering | MM-Vet | LLaVA-1.5-7B (+ SIMA) | https://arxiv.org/abs/2405.15973v3 | GPT-4 score | 31.6 |
Visual Question Answering | MM-Vet | LLaVA-1.5-7B (+ SIMA) | https://arxiv.org/abs/2405.15973v3 | Params | 7B |
Visual Question Answering | MM-Vet | LLaMA-Adapter v2-7B | https://arxiv.org/abs/2304.15010v1 | GPT-4 score | 31.4±0.1 |
Visual Question Answering | MM-Vet | LLaMA-Adapter v2-7B | https://arxiv.org/abs/2304.15010v1 | Params | 7B |
Visual Question Answering | MM-Vet | MiCo-Chat-7B | https://arxiv.org/abs/2406.09412v1 | GPT-4 score | 31.4 |
Visual Question Answering | MM-Vet | LLaVA-1.5-7B + TeamLoRA | https://arxiv.org/abs/2408.09856v1 | GPT-4 score | 31.2 |
Visual Question Answering | MM-Vet | LLaVA-1.5-7B | https://arxiv.org/abs/2310.03744v2 | GPT-4 score | 31.1±0.2 |
Visual Question Answering | MM-Vet | LLaVA-1.5-7B | https://arxiv.org/abs/2310.03744v2 | Params | 7B |
Visual Question Answering | MM-Vet | RoboCodeX-13B | https://arxiv.org/abs/2402.16117v1 | GPT-4 score | 31.0 |
Visual Question Answering | MM-Vet | HyperLLaVA | https://arxiv.org/abs/2403.13447v1 | GPT-4 score | 31.0 |
Visual Question Answering | MM-Vet | FAST (Vicuna-7B) | https://arxiv.org/abs/2408.08862v3 | GPT-4 score | 31.0 |
Visual Question Answering | MM-Vet | JanusFlow | https://arxiv.org/abs/2411.07975v2 | GPT-4 score | 30.9 |
Visual Question Answering | MM-Vet | AlignGPT (Vicuna-7B) | https://arxiv.org/abs/2405.14129v2 | GPT-4 score | 30.8 |
Visual Question Answering | MM-Vet | LLaVolta | https://arxiv.org/abs/2406.20092v2 | GPT-4 score | 30.7 |
Visual Question Answering | MM-Vet | LLaVA-AlignedVQ | https://arxiv.org/abs/2411.05961v1 | GPT-4 score | 30.7 |
Visual Question Answering | MM-Vet | LLaVA-1.5-HACL | https://arxiv.org/abs/2312.06968v4 | GPT-4 score | 30.4 |
Visual Question Answering | MM-Vet | LLaVA-1.5-HACL | https://arxiv.org/abs/2312.06968v4 | Params | 7.3B |
Visual Question Answering | MM-Vet | MaVEn | https://arxiv.org/abs/2408.12321v2 | GPT-4 score | 30.4 |
Visual Question Answering | MM-Vet | MaVEn | https://arxiv.org/abs/2408.12321v2 | Params | 7.2B |
Visual Question Answering | MM-Vet | VisionZip (Retain 64 Tokens, fine-tuning) | https://arxiv.org/abs/2412.04467v1 | GPT-4 score | 30.2 |
Visual Question Answering | MM-Vet | H2OVL-Mississippi-0.8B | https://arxiv.org/abs/2410.13611v1 | GPT-4 score | 30.0 |
Visual Question Answering | MM-Vet | RoboMamba | https://arxiv.org/abs/2406.04339v2 | GPT-4 score | 29.7 |
Visual Question Answering | MM-Vet | LLaVA-TokenPacker (Vicuna-7B) | https://arxiv.org/abs/2407.02392v4 | GPT-4 score | 29.6 |
Visual Question Answering | MM-Vet | OneLLM-7B | https://arxiv.org/abs/2312.03700v2 | GPT-4 score | 29.1 |
Visual Question Answering | MM-Vet | OneLLM-7B | https://arxiv.org/abs/2312.03700v2 | Params | 7B |
Visual Question Answering | MM-Vet | LLaVA-OneVision-0.5B | https://arxiv.org/abs/2408.03326v3 | GPT-4 score | 29.1 |
Visual Question Answering | MM-Vet | Vary-toy | https://arxiv.org/abs/2401.12503v1 | GPT-4 score | 29.0 |
Visual Question Answering | MM-Vet | Vary-toy | https://arxiv.org/abs/2401.12503v1 | Params | 1.8B |
Visual Question Answering | MM-Vet | LLaVA-Phi | https://arxiv.org/abs/2401.02330v4 | GPT-4 score | 28.9 |
Visual Question Answering | MM-Vet | MM-ReAct-GPT-3.5 | https://arxiv.org/abs/2303.11381v1 | GPT-4 score | 27.9±0.1 |
Visual Question Answering | MM-Vet | MMAR-7B | https://arxiv.org/abs/2410.10798v2 | GPT-4 score | 27.80 |
Visual Question Answering | MM-Vet | SEAL (7B) | https://arxiv.org/abs/2312.14135v2 | GPT-4 score | 27.7 |
Visual Question Answering | MM-Vet | SEAL (7B) | https://arxiv.org/abs/2312.14135v2 | Params | 7B |
Visual Question Answering | MM-Vet | LLaVA-Plus-7B (All Tools) | https://arxiv.org/abs/2311.05437v1 | GPT-4 score | 27.5±0.3 |
Visual Question Answering | MM-Vet | LLaVA-Plus-7B (All Tools) | https://arxiv.org/abs/2311.05437v1 | Params | 7B |
Visual Question Answering | MM-Vet | OtterHD-8B | https://arxiv.org/abs/2311.04219v1 | GPT-4 score | 26.3 |
Visual Question Answering | MM-Vet | OtterHD-8B | https://arxiv.org/abs/2311.04219v1 | Params | 8B |
Visual Question Answering | MM-Vet | TGA-7B | https://arxiv.org/abs/2410.12662v1 | GPT-4 score | 25.6 |
Visual Question Answering | MM-Vet | OpenFlamingo-9B (MPT-7B) | https://arxiv.org/abs/2308.01390v2 | GPT-4 score | 24.8±0.2 |
Visual Question Answering | MM-Vet | OpenFlamingo-9B (MPT-7B) | https://arxiv.org/abs/2308.01390v2 | Params | 9B |
Visual Question Answering | MM-Vet | Otter-9B (MPT-7B) | https://arxiv.org/abs/2306.05425v1 | GPT-4 score | 24.7±0.3 |
Visual Question Answering | MM-Vet | Otter-9B (MPT-7B) | https://arxiv.org/abs/2306.05425v1 | Params | 9B |
Visual Question Answering | MM-Vet | Otter-9B (LLaMA) | https://arxiv.org/abs/2306.05425v1 | GPT-4 score | 24.6±0.2 |
Visual Question Answering | MM-Vet | Otter-9B (LLaMA) | https://arxiv.org/abs/2306.05425v1 | Params | 9B |
Visual Question Answering | MM-Vet | MiniGPT-4-14B | https://arxiv.org/abs/2304.10592v2 | GPT-4 score | 24.4±0.4 |
Visual Question Answering | MM-Vet | MiniGPT-4-14B | https://arxiv.org/abs/2304.10592v2 | Params | 14B |
Visual Question Answering | MM-Vet | LinVT | https://arxiv.org/abs/2412.05185v2 | GPT-4 score | 23.5 |
Visual Question Answering | MM-Vet | BLIP-2-12B | https://arxiv.org/abs/2301.12597v3 | GPT-4 score | 22.4±0.2 |
Visual Question Answering | MM-Vet | BLIP-2-12B | https://arxiv.org/abs/2301.12597v3 | Params | 12B |
Visual Question Answering | MM-Vet | MiniGPT-4-8B | https://arxiv.org/abs/2304.10592v2 | GPT-4 score | 22.1±0.1 |
Visual Question Answering | MM-Vet | MiniGPT-4-8B | https://arxiv.org/abs/2304.10592v2 | Params | 8B |
Visual Question Answering | MM-Vet | OpenFlamingo-9B (LLaMA-7B) | https://arxiv.org/abs/2308.01390v2 | GPT-4 score | 21.8±0.1 |
Visual Question Answering | MM-Vet | OpenFlamingo-9B (LLaMA-7B) | https://arxiv.org/abs/2308.01390v2 | Params | 9B |
Visual Question Answering | MM-Vet | Xmodel-VLM (Xmodel-LM 1.1B) | https://arxiv.org/abs/2405.09215v3 | GPT-4 score | 21.8 |
Visual Question Answering | MM-Vet | TextBind | https://arxiv.org/abs/2309.08637v5 | GPT-4 score | 19.4 |
Visual Question Answering | MM-Vet | MMAR-0.5B | https://arxiv.org/abs/2410.10798v2 | GPT-4 score | 18.49 |
Visual Question Answering | SIRI-WHU | SkySense-O | https://arxiv.org/abs/2312.10115v2 | Acc. (test) | 74.79 |
Visual Question Answering | GRIT | OFA | https://arxiv.org/abs/2202.03052v2 | VQA (ablation) | 72.4 |
Visual Question Answering | RSVQA-HR | SkySense-O | https://arxiv.org/abs/2312.10115v2 | zero-shot Acc | 78.09 |
Visual Question Answering | VQA v2 | RLHF-V | https://arxiv.org/abs/2312.00849v2 | Accuracy | 80 |
Visual Question Answering | VQA v2 | Emu-I * | https://arxiv.org/abs/2307.05222v2 | Accuracy | 57.5 |
Visual Question Answering | VQA v2 test-std | LXMERT (low-magnitude pruning) | https://arxiv.org/abs/2310.15325v1 | Accuracy | 70.87 |
Visual Question Answering | VQA v2 test-std | OFA | https://arxiv.org/abs/2202.03052v2 | yes/no | 94.66 |
Visual Question Answering | VQA v2 test-std | OFA | https://arxiv.org/abs/2202.03052v2 | number | 71.44 |
Visual Question Answering | VQA v2 test-std | OFA | https://arxiv.org/abs/2202.03052v2 | other | 73.35 |
Visual Question Answering | VQA v2 test-std | OFA | https://arxiv.org/abs/2202.03052v2 | overall | 81.98 |
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