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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43
Multimodal Benchmarks
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LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Paper • 2407.12772 • Published • 34 -
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
Paper • 2407.11691 • Published • 14 -
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
Paper • 2408.02718 • Published • 61 -
Teaching CLIP to Count to Ten
Paper • 2302.12066 • Published -
GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal Models
Paper • 2408.11817 • Published • 9 -
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
Paper • 2408.13257 • Published • 26 -
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 • 8 -
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Paper • 2409.02813 • Published • 29 -
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?
Paper • 2409.07703 • Published • 67 -
OmniBench: Towards The Future of Universal Omni-Language Models
Paper • 2409.15272 • Published • 27 -
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models
Paper • 2409.13592 • Published • 49 -
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 • 43 -
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 • 51 -
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
Paper • 2410.10563 • Published • 38 -
LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content
Paper • 2410.10783 • Published • 26 -
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
Paper • 2410.10818 • Published • 15 -
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 • 75 -
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
Paper • 2410.12787 • Published • 31 -
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation
Paper • 2410.17250 • Published • 14 -
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Paper • 2410.14669 • Published • 36 -
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
Paper • 2410.18976 • Published • 9 -
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 • 200 -
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 • 9 -
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
Paper • 2410.23266 • Published • 20 -
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
Paper • 2411.00836 • Published • 15 -
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Paper • 2411.04075 • Published • 16 -
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
Paper • 2411.06176 • Published • 45 -
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
Paper • 2411.07975 • Published • 27 -
VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
Paper • 2411.17451 • Published • 10 -
Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment
Paper • 2411.17188 • Published • 21 -
VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
Paper • 2411.17991 • Published • 5 -
MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs
Paper • 2411.15296 • Published • 19 -
VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information
Paper • 2412.00947 • Published • 7 -
AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?
Paper • 2412.02611 • Published • 23 -
3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark
Paper • 2412.07825 • Published • 12 -
OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
Paper • 2412.07626 • Published • 22 -
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
Paper • 2412.08737 • Published • 53 -
BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities
Paper • 2412.07769 • Published • 26 -
Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models
Paper • 2412.12606 • Published • 41 -
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain
Paper • 2412.13018 • Published • 41 -
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
Paper • 2412.14171 • Published • 24 -
MMFactory: A Universal Solution Search Engine for Vision-Language Tasks
Paper • 2412.18072 • Published • 17 -
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
Paper • 2501.02955 • Published • 40 -
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
Paper • 2501.05510 • Published • 39 -
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Paper • 2501.06186 • Published • 59 -
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents
Paper • 2501.08828 • Published • 28 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Paper • 2501.09781 • Published • 22 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 76 -
MSTS: A Multimodal Safety Test Suite for Vision-Language Models
Paper • 2501.10057 • Published • 8 -
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
Paper • 2501.13826 • Published • 19 -
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Paper • 2501.11858 • Published • 3 -
Redundancy Principles for MLLMs Benchmarks
Paper • 2501.13953 • Published • 19