SOTAVerified

Multimodal Reasoning

Reasoning over multimodal inputs.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 302 papers

TitleStatusHype
Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning—0
MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification—0
VERIFY: A Benchmark of Visual Explanation and Reasoning for Investigating Multimodal Reasoning Fidelity—0
VisualPRM: An Effective Process Reward Model for Multimodal Reasoning—0
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data—0
MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging QuestionsCode0
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework—0
Integrating Chain-of-Thought for Multimodal Alignment: A Study on 3D Vision-Language Learning—0
COSINT-Agent: A Knowledge-Driven Multimodal Agent for Chinese Open Source Intelligence—0
Shakti-VLMs: Scalable Vision-Language Models for Enterprise AI—0
All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark—0
Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models—0
Exploring Advanced Techniques for Visual Question Answering: A Comprehensive Comparison—0
SegSub: Evaluating Robustness to Knowledge Conflicts and Hallucinations in Vision-Language ModelsCode0
CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base—0
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal ReasoningCode0
USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot InteractionsCode0
EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges—0
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency—0
A Generative Framework for Bidirectional Image-Report Understanding in Chest Radiography—0
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration—0
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking—0
Position: Empowering Time Series Reasoning with Multimodal LLMs—0
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark—0
DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests—0
Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the WildCode0
EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models—0
LININ: Logic Integrated Neural Inference Network for Explanatory Visual Question AnsweringCode0
Diving into Self-Evolving Training for Multimodal Reasoning—0
SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object LocalizationCode0
Progressive Multimodal Reasoning via Active Retrieval—0
FiVL: A Framework for Improved Vision-Language AlignmentCode0
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence—0
Leveraging Retrieval-Augmented Tags for Large Vision-Language Understanding in Complex Scenes—0
A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges—0
Optimizing Vision-Language Interactions Through Decoder-Only Models—0
EVLM: Self-Reflective Multimodal Reasoning for Cross-Dimensional Visual Editing—0
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning—0
Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving—0
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference OptimizationCode0
Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level—0
Towards Low-Resource Harmful Meme Detection with LMM AgentsCode0
Understanding the Role of LLMs in Multimodal Evaluation BenchmarksCode0
Learning to Ground VLMs without Forgetting—0
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation—0
NL-Eye: Abductive NLI for Images—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications—0
Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning—0
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated ImagesCode0
NVLM: Open Frontier-Class Multimodal LLMs—0
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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