#Large Multimodal Models

14개의 포스트

[논문리뷰] Large Multimodal Models as General In-Context Classifiers

arXiv에 게시된 'Large Multimodal Models as General In-Context Classifiers' 논문에 대한 자세한 리뷰입니다.

#Review #Large Multimodal Models #In-Context Learning #Image Classification #Open-World Classification #Zero-Shot Learning #Vision-Language Models #CLIP

2026년 3월 5일

[논문리뷰] From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models

Wei Ye이 arXiv에 게시한 'From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models' 논문에 대한 자세한 리뷰입니다.

#Review #Large Multimodal Models #Iterative Training #Diagnostic-Driven Learning #Reinforcement Learning #Multimodal Reasoning #Data Generation #Agent Systems

2026년 2월 26일

[논문리뷰] DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning

Wei Wang이 arXiv에 게시한 'DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Mathematical Dataset #RLVR #Data Curation #Visual Diversity #K12 Mathematics #Large Multimodal Models

2026년 2월 22일

[논문리뷰] Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility

arXiv에 게시된 'Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility' 논문에 대한 자세한 리뷰입니다.

#Review #Scientific Image Synthesis #Multimodal Reasoning #Text-to-Image #Benchmarking #Programmatic Synthesis #Large Multimodal Models #Synthetic Data

2026년 1월 26일

[논문리뷰] MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents

Samiul Alam이 arXiv에 게시한 'MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Deep Research #Research Agents #Benchmark #Evaluation Framework #Retrieval-Augmented Generation #Large Multimodal Models #Visual Grounding #Citation Analysis

2026년 1월 21일

[논문리뷰] Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Rumination

Jing Bi이 arXiv에 게시한 'Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Rumination' 논문에 대한 자세한 리뷰입니다.

#Review #Video Reasoning #Large Multimodal Models #Reinforcement Learning #Visual Rumination #Text-Rich Video #Video Question Answering #Iterative Perception

2025년 11월 23일

[논문리뷰] OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe

arXiv에 게시된 'OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Large Multimodal Models #Supervised Fine-tuning #Reinforcement Learning #Data Curation #Open-source #Multimodal Benchmarks

2025년 11월 23일

[논문리뷰] V-Thinker: Interactive Thinking with Images

Peiqing Yang이 arXiv에 게시한 'V-Thinker: Interactive Thinking with Images' 논문에 대한 자세한 리뷰입니다.

#Review #Large Multimodal Models #Interactive Reasoning #Vision-Centric Thinking #Reinforcement Learning #Data Synthesis #Visual Tools #Curriculum Learning #Multimodal AI

2025년 11월 9일

[논문리뷰] Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models

Shijie Dong이 arXiv에 게시한 'Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models' 논문에 대한 자세한 리뷰입니다.

#Review #Large Multimodal Models #Visual Token Compression #Token Pruning #Benchmark #Efficiency #Inference Latency #Multimodal LLMs

2025년 11월 9일

[논문리뷰] Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence

arXiv에 게시된 'Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence' 논문에 대한 자세한 리뷰입니다.

#Review #Video Reasoning #Spatio-Temporal Grounding #Large Multimodal Models #Reinforcement Learning #Chain-of-Thought #Visual Evidence #Dataset Curation

2025년 10월 24일

[논문리뷰] KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints

Jinhe Bi이 arXiv에 게시한 'KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Augmentations and Constraints' 논문에 대한 자세한 리뷰입니다.

#Review #Knowledge Injection #Large Multimodal Models #Catastrophic Forgetting #Data Augmentation #Parameter-Efficient Fine-Tuning #Null Space #Continual Learning

2025년 10월 23일

[논문리뷰] SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models

Mohit Bansal이 arXiv에 게시한 'SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models' 논문에 대한 자세한 리뷰입니다.

#Review #Video Reasoning #Multimodal AI #Scientific Research #Large Multimodal Models #Benchmark #Quantitative Reasoning #Domain Knowledge #Visual Grounding

2025년 10월 10일

[논문리뷰] Morae: Proactively Pausing UI Agents for User Choices

Amy Pavel이 arXiv에 게시한 'Morae: Proactively Pausing UI Agents for User Choices' 논문에 대한 자세한 리뷰입니다.

#Review #UI Agents #Accessibility #Human-Agent Interaction #Mixed-Initiative AI #Large Multimodal Models #Proactive AI #User Choice #Blind and Low-Vision Users

2025년 9월 1일

[논문리뷰] Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability

Yuan Wu이 arXiv에 게시한 'Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability' 논문에 대한 자세한 리뷰입니다.

#Review #Large Multimodal Models #Input Scrutiny #Error Detection #Faulty Inputs #Evaluation Framework #Modality Preference #Cross-Modal Inconsistency

2025년 8월 8일