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Visual Question Answering

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Showing 1001–1025 of 2177 papers

TitleStatusHype
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and FilteringCode0
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning—0
TrojVLM: Backdoor Attack Against Vision Language Models—0
3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models—0
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations—0
Enhancing Explainability in Multimodal Large Language Models Using Ontological Context—0
ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialogue—0
DARE: Diverse Visual Question Answering with Robustness Evaluation—0
Robotic Environmental State Recognition with Pre-Trained Vision-Language Models and Black-Box Optimization—0
A Unified Hallucination Mitigation Framework for Large Vision-Language ModelsCode0
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation—0
Can CLIP Count Stars? An Empirical Study on Quantity Bias in CLIP—0
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—0
Vision Language Models Can Parse Floor Plan Maps—0
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities—0
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis—0
CAST: Cross-modal Alignment Similarity Test for Vision Language ModelsCode0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
Explore the Hallucination on Low-level Perception for MLLMs—0
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge TypesCode0
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering—0
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial AttacksCode0
VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning—0
Mitigating Hallucination in Visual-Language Models via Re-Balancing Contrastive Decoding—0
Breaking Neural Network Scaling Laws with Modularity—0
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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