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Papers

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Showing 61–70 of 2177 papers

TitleStatusHype
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning AgentCode3
Evaluating Text-to-Visual Generation with Image-to-Text GenerationCode3
Baichuan-Omni Technical ReportCode3
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal ModelsCode3
MoAI: Mixture of All Intelligence for Large Language and Vision ModelsCode3
Generative Multimodal Models are In-Context LearnersCode3
Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to PairsCode3
Efficient Multimodal Large Language Models: A SurveyCode3
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language ModelCode3
DriveLM: Driving with Graph Visual Question AnsweringCode3
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All datasetsMM-VetViP-BenchVQA v2 test-devBenchLMMMMBenchV*benchVQA v2 valMSRVTT-QAVQA v2 test-stdMMHal-BenchMSVD-QAPlotQA-D1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MMCTAgent (GPT-4 + GPT-4V)GPT-4 score74.24—Unverified
2Qwen2-VL-72BGPT-4 score74—Unverified
3InternVL2.5-78BGPT-4 score72.3—Unverified
4GPT-4o +text rationale +IoTGPT-4 score72.2—Unverified
5Lyra-ProGPT-4 score71.4—Unverified
6GLM-4V-PlusGPT-4 score71.1—Unverified
7Phantom-7BGPT-4 score70.8—Unverified
8InternVL2.5-38BGPT-4 score68.8—Unverified
9InternVL2-26B (SGP, token ratio 64%)GPT-4 score65.6—Unverified
10Baichuan-Omni (7B)GPT-4 score65.4—Unverified