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Multimodal Reasoning
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Reasoning over multimodal inputs.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent
Revisiting Reliability in the Reasoning-based Pose Estimation Benchmark
The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs
MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning
High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning
Skywork-R1V3 Technical Report
Enhancing Scientific Visual Question Answering through Multimodal Reasoning and Ensemble Modeling
Perception-Aware Policy Optimization for Multimodal Reasoning
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Flash-VStream: Efficient Real-Time Understanding for Long Video Streams
Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers
Q-Frame: Query-aware Frame Selection and Multi-Resolution Adaptation for Video-LLMs
HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context
APO: Enhancing Reasoning Ability of MLLMs via Asymmetric Policy Optimization
MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering
Adapting Vision-Language Models for Evaluating World Models
Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens
GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning
GeoGuess: Multimodal Reasoning based on Hierarchy of Visual Information in Street View
MEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering
RadFabric: Agentic AI System with Reasoning Capability for Radiology
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning
Metis-RISE: RL Incentivizes and SFT Enhances Multimodal Reasoning Model Learning
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design
VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval
Optimus-3: Towards Generalist Multimodal Minecraft Agents with Scalable Task Experts
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
VideoDeepResearch: Long Video Understanding With Agentic Tool Using
MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning
FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models
Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing
ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering
Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency
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