SOTAVerified

Multimodal Reasoning

Reasoning over multimodal inputs.

Papers

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Showing 101–150 of 302 papers

TitleStatusHype
SToLa: Self-Adaptive Touch-Language Framework with Tactile Commonsense Reasoning in Open-Ended Scenarios—0
X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains—0
Advancing Conversational Diagnostic AI with Multimodal Reasoning—0
R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation—0
Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models—0
MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind—0
VideoMultiAgents: A Multi-Agent Framework for Video Question AnsweringCode1
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for ReasoningCode7
VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization—0
GeoSense: Evaluating Identification and Application of Geometric Principles in Multimodal Reasoning—0
Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement LearningCode2
Structured Graph Representations for Visual Narrative Reasoning: A Hierarchical Framework for Comics—0
SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model—0
Breaking the Data Barrier -- Building GUI Agents Through Task GeneralizationCode1
VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge—0
Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation—0
HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented GenerationCode2
NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding—0
VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering—0
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement LearningCode2
Kimi-VL Technical ReportCode5
MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language ModelsCode1
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-ThoughtCode7
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)—0
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models—0
Affordable AI Assistants with Knowledge Graph of ThoughtsCode3
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal ReasoningCode2
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework—0
Boosting MLLM Reasoning with Text-Debiased Hint-GRPOCode1
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models—0
3MDBench: Medical Multimodal Multi-agent Dialogue BenchmarkCode1
VisualQuest: A Diverse Image Dataset for Evaluating Visual Recognition in LLMs—0
Training-Free Personalization via Retrieval and Reasoning on Fingerprints—0
Mind with Eyes: from Language Reasoning to Multimodal Reasoning—0
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-ImprovementCode2
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models—0
EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models—0
LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction TuningCode2
Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning—0
MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific ResearchCode1
DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual GroundingCode2
MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification—0
Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic CognitionCode1
VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity—0
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data—0
How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in An Extensible Escape GameCode1
R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal FormalizationCode4
VisualPRM: An Effective Process Reward Model for Multimodal Reasoning—0
MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging QuestionsCode0
Oasis: One Image is All You Need for Multimodal Instruction Data SynthesisCode1
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All datasetsREBUSMATH-VAlgoPuzzleVQA

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4VAccuracy24—Unverified
2Gemini ProAccuracy13.2—Unverified
3LLaVa-1.5-13BAccuracy1.8—Unverified
4LLaVa-1.5-7BAccuracy1.5—Unverified
5BLIP2-FLAN-T5-XXLAccuracy0.9—Unverified
6QWENAccuracy0.9—Unverified
7CogVLMAccuracy0.9—Unverified
8InstructBLIPAccuracy0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4VAccuracy22.76—Unverified
2Gemini ProAccuracy17.66—Unverified
3Qwen-VL-MaxAccuracy15.59—Unverified
4InternLM-XComposer2-VLAccuracy14.54—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4Acc30.3—Unverified