SOTAVerified

Multimodal Reasoning

Reasoning over multimodal inputs.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 302 papers

TitleStatusHype
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