Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
Paper
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2407.07053
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Published
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41
Multimodal Benchmarks
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LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Paper • 2407.12772 • Published • 33 -
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
Paper • 2407.11691 • Published • 13 -
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
Paper • 2408.02718 • Published • 60 -
Teaching CLIP to Count to Ten
Paper • 2302.12066 • Published -
GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
Paper • 2408.11817 • Published • 7 -
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
Paper • 2408.13257 • Published • 25 -
UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios
Paper • 2408.17267 • Published • 23 -
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
Paper • 2408.16176 • Published • 7 -
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Paper • 2409.02813 • Published • 28 -
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
Paper • 2409.07703 • Published • 66 -
OmniBench: Towards The Future of Universal Omni-Language Models
Paper • 2409.15272 • Published • 25 -
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models
Paper • 2409.13592 • Published • 48 -
Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos
Paper • 2410.02763 • Published • 7 -
HumanEval-V: Evaluating Visual Understanding and Reasoning Abilities of Large Multimodal Models Through Coding Tasks
Paper • 2410.12381 • Published • 41 -
WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation
Paper • 2410.12722 • Published • 5 -
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
Paper • 2410.10139 • Published • 50 -
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
Paper • 2410.10563 • Published • 36 -
LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content
Paper • 2410.10783 • Published • 25 -
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Paper • 2410.10818 • Published • 14 -
MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models
Paper • 2410.09733 • Published • 8 -
TVBench: Redesigning Video-Language Evaluation
Paper • 2410.07752 • Published • 5 -
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures
Paper • 2410.13754 • Published • 74 -
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
Paper • 2410.12787 • Published • 30 -
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation
Paper • 2410.17250 • Published • 12 -
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Paper • 2410.14669 • Published • 35 -
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
Paper • 2410.18976 • Published • 8 -
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts
Paper • 2410.18071 • Published • 6 -
CLEAR: Character Unlearning in Textual and Visual Modalities
Paper • 2410.18057 • Published • 197 -
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
Paper • 2410.19168 • Published • 19 -
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
Paper • 2410.21969 • Published • 8 -
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
Paper • 2410.23266 • Published • 19 -
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
Paper • 2411.00836 • Published • 14