Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
Paper
• 2407.07053 • Published
• 47
Multimodal Benchmarks
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LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models
Paper • 2407.12772 • Published • 35 -
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
Paper • 2407.11691 • Published • 16 -
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
Paper • 2408.02718 • Published • 62 -
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 • 33 -
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 • 30 -
YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models
Paper • 2409.13592 • Published • 50 -
Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos
Paper • 2410.02763 • Published • 7 -
HumanEval-V: Benchmarking High-Level Visual Reasoning with Complex Diagrams in 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 • 37 -
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 • 16 -
MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language Models
Paper • 2410.09733 • Published • 8 -
TVBench: Redesigning Video-Language Evaluation
Paper • 2410.07752 • Published • 6 -
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 • 30 -
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 • 39 -
CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
Paper • 2410.18976 • Published • 13 -
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts
Paper • 2410.18071 • Published • 7 -
CLEAR: Character Unlearning in Textual and Visual Modalities
Paper • 2410.18057 • Published • 209 -
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
Paper • 2410.19168 • Published • 24 -
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
Paper • 2410.21969 • Published • 10 -
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 • 31 -
VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
Paper • 2411.17451 • Published • 11 -
Interleaved Scene Graph for Interleaved Text-and-Image Generation Assessment
Paper • 2411.17188 • Published • 20 -
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 • 21 -
VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information
Paper • 2412.00947 • Published • 8 -
AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?
Paper • 2412.02611 • Published • 25 -
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 • 28 -
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
Paper • 2412.08737 • Published • 54 -
BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities
Paper • 2412.07769 • Published • 30 -
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 • 18 -
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
Paper • 2501.02955 • Published • 44 -
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
Paper • 2501.05510 • Published • 44 -
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs
Paper • 2501.06186 • Published • 65 -
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents
Paper • 2501.08828 • Published • 30 -
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 • 27 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 84 -
MSTS: A Multimodal Safety Test Suite for Vision-Language Models
Paper • 2501.10057 • Published • 10 -
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
Paper • 2501.13826 • Published • 23 -
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
Paper • 2501.11858 • Published • 7 -
Redundancy Principles for MLLMs Benchmarks
Paper • 2501.13953 • Published • 29 -
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
Paper • 2501.16411 • Published • 19 -
MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models
Paper • 2502.00698 • Published • 24 -
SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation
Paper • 2502.08168 • Published • 12 -
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
Paper • 2502.09560 • Published • 35 -
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
Paper • 2502.09621 • Published • 28 -
mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data
Paper • 2502.08468 • Published • 16 -
ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models
Paper • 2502.09696 • Published • 43 -
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Paper • 2502.10391 • Published • 34 -
MVL-SIB: A Massively Multilingual Vision-Language Benchmark for Cross-Modal Topical Matching
Paper • 2502.12852 • Published • 3 -
GIMMICK -- Globally Inclusive Multimodal Multitask Cultural Knowledge Benchmarking
Paper • 2502.13766 • Published • 3 -
VLM^2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
Paper • 2502.12084 • Published • 35 -
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding
Paper • 2502.14949 • Published • 9 -
Evaluating Multimodal Generative AI with Korean Educational Standards
Paper • 2502.15422 • Published • 10 -
Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models
Paper • 2502.16033 • Published • 18 -
M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality Assessment
Paper • 2502.15167 • Published • 2 -
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference
Paper • 2502.18411 • Published • 74 -
TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding
Paper • 2502.19400 • Published • 47 -
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension
Paper • 2503.08689 • Published • 4 -
VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering
Paper • 2503.06492 • Published • 11 -
VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
Paper • 2503.10291 • Published • 36 -
R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization
Paper • 2503.10615 • Published • 17 -
MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research
Paper • 2503.13399 • Published • 22 -
Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLM
Paper • 2503.14478 • Published • 48 -
DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
Paper • 2503.12797 • Published • 32 -
MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification
Paper • 2503.12505 • Published • 11 -
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models
Paper • 2503.12545 • Published • 7 -
Judge Anything: MLLM as a Judge Across Any Modality
Paper • 2503.17489 • Published • 23 -
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models
Paper • 2503.18923 • Published • 14 -
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
Paper • 2503.19622 • Published • 31 -
LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?
Paper • 2503.19990 • Published • 35 -
VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks
Paper • 2410.19100 • Published • 6 -
Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks
Paper • 2501.11733 • Published • 28 -
ViLBench: A Suite for Vision-Language Process Reward Modeling
Paper • 2503.20271 • Published • 7 -
VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness
Paper • 2503.21755 • Published • 33 -
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding
Paper • 2503.17827 • Published • 8 -
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
Paper • 2503.14941 • Published • 5 -
KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language
Paper • 2503.23730 • Published • 3 -
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1
Paper • 2503.24376 • Published • 38 -
OmniMMI: A Comprehensive Multi-modal Interaction Benchmark in Streaming Video Contexts
Paper • 2503.22952 • Published • 17 -
Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
Paper • 2504.02826 • Published • 68 -
GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation
Paper • 2504.02782 • Published • 57 -
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
Paper • 2504.03641 • Published • 14 -
CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation
Paper • 2504.00043 • Published • 10 -
VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning
Paper • 2504.07956 • Published • 46 -
MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models
Paper • 2504.05782 • Published • 3 -
ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
Paper • 2504.10514 • Published • 48 -
VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge
Paper • 2504.10342 • Published • 11 -
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
Paper • 2504.05506 • Published • 25 -
LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
Paper • 2504.13805 • Published • 11 -
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs
Paper • 2504.15280 • Published • 25 -
MM-IFEngine: Towards Multimodal Instruction Following
Paper • 2504.07957 • Published • 35 -
IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs
Paper • 2504.15415 • Published • 23 -
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
Paper • 2504.15279 • Published • 78 -
Towards Understanding Camera Motions in Any Video
Paper • 2504.15376 • Published • 155 -
VideoVista-CulturalLingo: 360^circ Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension
Paper • 2504.17821 • Published • 24 -
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
Paper • 2504.16427 • Published • 18 -
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
Paper • 2504.18589 • Published • 13 -
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Paper • 2504.18904 • Published • 9 -
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks
Paper • 2412.04626 • Published • 13 -
Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models
Paper • 2505.03821 • Published • 24 -
OmniGIRL: A Multilingual and Multimodal Benchmark for GitHub Issue Resolution
Paper • 2505.04606 • Published • 9 -
OSUniverse: Benchmark for Multimodal GUI-navigation AI Agents
Paper • 2505.03570 • Published • 8 -
On Path to Multimodal Generalist: General-Level and General-Bench
Paper • 2505.04620 • Published • 82 -
ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative Annotation
Paper • 2505.07416 • Published • 2 -
VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models
Paper • 2505.08455 • Published • 5 -
EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models
Paper • 2505.09694 • Published • 20 -
PointArena: Probing Multimodal Grounding Through Language-Guided Pointing
Paper • 2505.09990 • Published • 12 -
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
Paper • 2505.10610 • Published • 55 -
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
Paper • 2505.13444 • Published • 17 -
ViPlan: A Benchmark for Visual Planning with Symbolic Predicates and Vision-Language Models
Paper • 2505.13180 • Published • 13 -
VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation
Paper • 2505.14640 • Published • 16 -
HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation
Paper • 2505.11454 • Published • 5 -
VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance
Paper • 2505.15952 • Published • 20 -
SpatialScore: Towards Unified Evaluation for Multimodal Spatial Understanding
Paper • 2505.17012 • Published • 12 -
RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding
Paper • 2505.14462 • Published • 4 -
AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models
Paper • 2505.16211 • Published • 18 -
FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow
Paper • 2505.17399 • Published • 14 -
RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs
Paper • 2505.16770 • Published • 12 -
Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study
Paper • 2505.15389 • Published • 8 -
Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps
Paper • 2505.18675 • Published • 26 -
MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models
Paper • 2505.19415 • Published • 2 -
MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs
Paper • 2505.21327 • Published • 83 -
MMMR: Benchmarking Massive Multi-Modal Reasoning Tasks
Paper • 2505.16459 • Published • 45 -
MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios
Paper • 2505.21333 • Published • 38 -
NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI
Paper • 2505.14064 • Published • 19 -
VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos
Paper • 2505.23693 • Published • 53 -
VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
Paper • 2505.23359 • Published • 38 -
Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding?
Paper • 2505.14321 • Published • 11 -
MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence
Paper • 2505.23764 • Published • 3 -
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
Paper • 2505.24878 • Published • 23 -
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
Paper • 2505.21523 • Published • 13 -
EarthMind: Towards Multi-Granular and Multi-Sensor Earth Observation with Large Multimodal Models
Paper • 2506.01667 • Published • 21 -
VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments
Paper • 2506.02387 • Published • 58 -
OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models
Paper • 2506.03135 • Published • 40 -
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
Paper • 2505.24714 • Published • 37 -
MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
Paper • 2506.04141 • Published • 29 -
VLMs Can Aggregate Scattered Training Patches
Paper • 2506.03614 • Published • 2 -
VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos
Paper • 2506.05349 • Published • 24 -
AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs
Paper • 2506.05328 • Published • 21 -
Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations
Paper • 2506.04633 • Published • 20 -
MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning
Paper • 2506.05523 • Published • 34 -
MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models
Paper • 2506.04688 • Published • 3 -
MCA-Bench: A Multimodal Benchmark for Evaluating CAPTCHA Robustness Against VLM-based Attacks
Paper • 2506.05982 • Published • 2 -
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
Paper • 2506.10521 • Published • 73 -
VideoMolmo: Spatio-Temporal Grounding Meets Pointing
Paper • 2506.05336 • Published • 9 -
SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification
Paper • 2506.15569 • Published • 12 -
ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
Paper • 2506.21356 • Published • 22 -
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation
Paper • 2506.21876 • Published • 28 -
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning
Paper • 2506.21355 • Published • 10 -
MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and Planning
Paper • 2506.22992 • Published • 12 -
Kwai Keye-VL Technical Report
Paper • 2507.01949 • Published • 131 -
HalluSegBench: Counterfactual Visual Reasoning for Segmentation Hallucination Evaluation
Paper • 2506.21546 • Published • 2 -
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
Paper • 2507.07984 • Published • 43 -
Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers
Paper • 2507.10787 • Published • 13 -
MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding
Paper • 2507.12463 • Published • 27 -
MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
Paper • 2507.19478 • Published • 32 -
MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions
Paper • 2507.21503 • Published • 3 -
AgroBench: Vision-Language Model Benchmark in Agriculture
Paper • 2507.20519 • Published • 8 -
DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning
Paper • 2508.05405 • Published • 64 -
Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability
Paper • 2508.04017 • Published • 11 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 19 -
MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence
Paper • 2508.13992 • Published • 7 -
RotBench: Evaluating Multimodal Large Language Models on Identifying Image Rotation
Paper • 2508.13968 • Published • 1 -
Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory
Paper • 2508.09736 • Published • 58 -
MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models
Paper • 2508.06009 • Published • 16 -
MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment
Paper • 2508.17290 • Published • 8 -
SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models
Paper • 2508.18179 • Published • 9 -
ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding
Paper • 2508.21496 • Published • 55 -
MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents
Paper • 2509.06477 • Published • 3 -
WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning
Paper • 2509.04744 • Published • 12 -
Measuring Epistemic Humility in Multimodal Large Language Models
Paper • 2509.09658 • Published • 7 -
Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization
Paper • 2509.09307 • Published • 6 -
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning
Paper • 2509.17437 • Published • 17 -
VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction
Paper • 2509.19002 • Published • 3 -
OpenGVL - Benchmarking Visual Temporal Progress for Data Curation
Paper • 2509.17321 • Published • 3 -
GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contexts
Paper • 2509.25160 • Published • 32 -
IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?
Paper • 2509.24709 • Published • 7 -
VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes
Paper • 2509.25339 • Published • 10 -
MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs
Paper • 2510.01691 • Published • 4 -
Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs
Paper • 2510.00507 • Published • 2 -
UNIDOC-BENCH: A Unified Benchmark for Document-Centric Multimodal RAG
Paper • 2510.03663 • Published • 16 -
SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
Paper • 2510.08559 • Published • 9 -
PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs
Paper • 2510.09507 • Published • 11 -
ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
Paper • 2510.11606 • Published • 6 -
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
Paper • 2510.10689 • Published • 47 -
InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
Paper • 2510.11341 • Published • 35 -
MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models
Paper • 2510.16641 • Published • 5 -
MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues
Paper • 2510.17722 • Published • 20 -
CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark
Paper • 2510.26160 • Published • 17 -
TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning
Paper • 2511.01833 • Published • 16 -
Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBench
Paper • 2510.26865 • Published • 12 -
VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation
Paper • 2511.02778 • Published • 102 -
When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs
Paper • 2511.02243 • Published • 25 -
Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models
Paper • 2511.02650 • Published • 10 -
MME-CC: A Challenging Multi-Modal Evaluation Benchmark of Cognitive Capacity
Paper • 2511.03146 • Published • 8 -
GUI-360: A Comprehensive Dataset and Benchmark for Computer-Using Agents
Paper • 2511.04307 • Published • 15 -
MVU-Eval: Towards Multi-Video Understanding Evaluation for Multimodal LLMs
Paper • 2511.07250 • Published • 18 -
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
Paper • 2511.09067 • Published • 2 -
TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models
Paper • 2511.13704 • Published • 43 -
GGBench: A Geometric Generative Reasoning Benchmark for Unified Multimodal Models
Paper • 2511.11134 • Published • 33 -
Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning Benchmark
Paper • 2511.13853 • Published • 36 -
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs
Paper • 2511.14159 • Published • 25 -
Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks
Paper • 2511.15065 • Published • 77 -
TopoPerception: A Shortcut-Free Evaluation of Global Visual Perception in Large Vision-Language Models
Paper • 2511.11831 • Published • 1 -
V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models
Paper • 2511.16668 • Published • 55 -
M3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent Benchmark
Paper • 2511.17729 • Published • 17 -
Multimodal Evaluation of Russian-language Architectures
Paper • 2511.15552 • Published • 79 -
VQ-VA World: Towards High-Quality Visual Question-Visual Answering
Paper • 2511.20573 • Published • 7 -
Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following
Paper • 2511.21662 • Published • 11 -
CaptionQA: Is Your Caption as Useful as the Image Itself?
Paper • 2511.21025 • Published • 28 -
World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models
Paper • 2511.22787 • Published • 10 -
SO-Bench: A Structural Output Evaluation of Multimodal LLMs
Paper • 2511.21750 • Published • 6 -
From Pixels to Feelings: Aligning MLLMs with Human Cognitive Perception of Images
Paper • 2511.22805 • Published • 4 -
Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
Paper • 2512.01816 • Published • 93 -
RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation Intelligence
Paper • 2512.02622 • Published • 10 -
Benchmarking Scientific Understanding and Reasoning for Video Generation using VideoScience-Bench
Paper • 2512.02942 • Published • 5 -
IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual Prompting
Paper • 2512.09663 • Published • 4 -
OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation
Paper • 2512.06589 • Published • 19 -
V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions
Paper • 2512.11995 • Published • 10 -
From Macro to Micro: Benchmarking Microscopic Spatial Intelligence on Molecules via Vision-Language Models
Paper • 2512.10867 • Published • 16 -
GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation
Paper • 2512.17495 • Published • 20 -
HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering
Paper • 2512.14870 • Published • 15 -
A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos
Paper • 2512.16978 • Published • 6 -
Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image
Paper • 2512.16899 • Published • 14 -
VABench: A Comprehensive Benchmark for Audio-Video Generation
Paper • 2512.09299 • Published • 8 -
JMMMU-Pro: Image-based Japanese Multi-discipline Multimodal Understanding Benchmark via Vibe Benchmark Construction
Paper • 2512.14620 • Published • 2 -
UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
Paper • 2512.21675 • Published • 25 -
SciEvalKit: An Open-source Evaluation Toolkit for Scientific General Intelligence
Paper • 2512.22334 • Published • 36 -
TSRBench: A Comprehensive Multi-task Multi-modal Time Series Reasoning Benchmark for Generalist Models
Paper • 2601.18744 • Published • 10 -
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Paper • 2602.02185 • Published • 125 -
Toward Cognitive Supersensing in Multimodal Large Language Model
Paper • 2602.01541 • Published • 16 -
AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process
Paper • 2602.02676 • Published • 10 -
WorldVQA: Measuring Atomic World Knowledge in Multimodal Large Language Models
Paper • 2602.02537 • Published • 6