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Visual Question Answering

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Showing 1101–1125 of 2177 papers

TitleStatusHype
Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target TokensCode0
Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQACode0
Program Synthesis Benchmark for Visual Programming in XLogoOnline Environment—0
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning—0
Mixture-of-Subspaces in Low-Rank AdaptationCode0
Beyond Raw Videos: Understanding Edited Videos with Large Multimodal ModelCode0
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models—0
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Optimizing Visual Question Answering Models for Driving: Bridging the Gap Between Human and Machine Attention Patterns—0
Towards Multilingual Audio-Visual Question AnsweringCode0
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications—0
What If We Recaption Billions of Web Images with LLaMA-3?—0
Benchmarking Vision-Language Contrastive Methods for Medical Representation LearningCode0
Solution for SMART-101 Challenge of CVPR Multi-modal Algorithmic Reasoning Task 2024—0
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark—0
Towards Semantic Equivalence of Tokenization in Multimodal LLM—0
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs—0
Understanding Information Storage and Transfer in Multi-modal Large Language Models—0
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering—0
Story Generation from Visual Inputs: Techniques, Related Tasks, and Challenges—0
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze FollowingCode0
Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering—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