Review

[논문리뷰] MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources

Jianxun Cui이 arXiv에 게시한 'MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources' 논문에 대한 자세한 리뷰입니다.

#Review #Metric Depth Estimation #Pretraining #Foundation Models #Sparse Prompts #Heterogeneous Data #Zero-Shot Learning #Multi-modal Learning

2026년 1월 29일

[논문리뷰] MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods

arXiv에 게시된 'MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal Reasoning #Data-centric AI #Chain-of-Thought #Large Language Models #Visual Question Answering #STEM Reasoning #Dataset #Fine-tuning

2026년 1월 29일

[논문리뷰] MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models

Yong Man Ro이 arXiv에 게시한 'MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models' 논문에 대한 자세한 리뷰입니다.

#Review #Multimodal LLM #Cross-modal Hallucination #Contrastive Decoding #Modality-Adaptive Decoding #Self-Assessment #Audio-Visual Language Model #Training-Free

2026년 1월 29일

[논문리뷰] Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report

arXiv에 게시된 'Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report' 논문에 대한 자세한 리뷰입니다.

#Review #Cybersecurity LLM #Reasoning Model #Supervised Fine-Tuning #Reinforcement Learning #Verifiable Rewards #8B Parameters #Open-Source AI

2026년 1월 29일

[논문리뷰] Language-based Trial and Error Falls Behind in the Era of Experience

arXiv에 게시된 'Language-based Trial and Error Falls Behind in the Era of Experience' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models #Reinforcement Learning #Exploration Efficiency #Sub-Scale Collaboration #Out-of-Distribution Tasks #Agentic AI #Supervised Fine-Tuning

2026년 1월 29일

[논문리뷰] Idea2Story: An Automated Pipeline for Transforming Research Concepts into Complete Scientific Narratives

arXiv에 게시된 'Idea2Story: An Automated Pipeline for Transforming Research Concepts into Complete Scientific Narratives' 논문에 대한 자세한 리뷰입니다.

#Review #Autonomous Scientific Discovery #LLM Agents #Knowledge Graph #Pre-computation #Research Pattern #Methodology #Retrieval-Augmented Generation #Review-Guided Refinement

2026년 1월 29일

[논문리뷰] Exploring Reasoning Reward Model for Agents

Zhixun Li이 arXiv에 게시한 'Exploring Reasoning Reward Model for Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic Reinforcement Learning #Reward Modeling #Reasoning-aware Feedback #Large Language Models (LLMs)#Multi-modal Agents #Fine-tuning #Critique Generation

2026년 1월 29일

[논문리뷰] Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models

arXiv에 게시된 'Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models' 논문에 대한 자세한 리뷰입니다.

#Review #Text-to-Image Models #Spatial Intelligence #Benchmark #Evaluation #Prompt Engineering #Multimodal LLMs #Fine-tuning #Spatial Reasoning

2026년 1월 29일

[논문리뷰] DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation

arXiv에 게시된 'DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation' 논문에 대한 자세한 리뷰입니다.

#Review #Vision-Language-Action (VLA) Models #Dynamic Object Manipulation #Robotics #Continuous Inference #Latent-aware Action Streaming #Real-time Control #Perception-Execution Gap

2026년 1월 29일

[논문리뷰] Discovering Hidden Gems in Model Repositories

Yedid Hoshen이 arXiv에 게시한 'Discovering Hidden Gems in Model Repositories' 논문에 대한 자세한 리뷰입니다.

#Review #Model Discovery #Hidden Gems #Sequential Halving #Multi-Armed Bandit #Model Repositories #Large Language Models #Performance Evaluation

2026년 1월 29일

[논문리뷰] DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents

arXiv에 게시된 'DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents' 논문에 대한 자세한 리뷰입니다.

#Review #AI Agents #Deep Research #Benchmark #Information Retrieval #Comprehensiveness #Multi-step Reasoning #Evaluation #LLM-as-a-Judge

2026년 1월 29일

[논문리뷰] ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation

arXiv에 게시된 'ConceptMoE: Adaptive Token-to-Concept Compression for Implicit Compute Allocation' 논문에 대한 자세한 리뷰입니다.

#Review #MoE #LLMs #Adaptive Compression #Token Merging #Compute Allocation #Efficiency #Vision-Language Models #Continual Training

2026년 1월 29일

[논문리뷰] Beyond Imitation: Reinforcement Learning for Active Latent Planning

Wee Sun Lee이 arXiv에 게시한 'Beyond Imitation: Reinforcement Learning for Active Latent Planning' 논문에 대한 자세한 리뷰입니다.

#Review #Large Language Models (LLMs)#Chain-of-Thought (CoT)#Latent Reasoning #Reinforcement Learning (RL)#Variational Autoencoder (VAE)#Active Planning #Numerical Reasoning #Coherence Reward

2026년 1월 29일

[논문리뷰] AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts

arXiv에 게시된 'AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts' 논문에 대한 자세한 리뷰입니다.

#Review #Long-Context LLMs #Autonomous Agents #Benchmark #Environment Rollouts #State Tracking #Tool Use #Memory Evaluation #Lateral Thinking Puzzles

2026년 1월 29일

[논문리뷰] UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders

arXiv에 게시된 'UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders' 논문에 대한 자세한 리뷰입니다.

#Review #Feature Upsampling #Local Attender #Pixel-Dense Features #Iterative Upsampling #Vision Transformer #Efficiency #Generative AI #Semantic Segmentation

2026년 1월 28일

[논문리뷰] Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning

Shuai Zhang이 arXiv에 게시한 'Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning' 논문에 대한 자세한 리뷰입니다.

#Review #Agentic AI #Reinforcement Learning #Long-Horizon Tasks #Dynamic Branching #Strategic Exploration #LLM Agents #Sample Efficiency #Policy Optimization

2026년 1월 28일

[논문리뷰] SketchDynamics: Exploring Free-Form Sketches for Dynamic Intent Expression in Animation Generation

Hongbo Fu이 arXiv에 게시한 'SketchDynamics: Exploring Free-Form Sketches for Dynamic Intent Expression in Animation Generation' 논문에 대한 자세한 리뷰입니다.

#Review #Animation Generation #Free-Form Sketching #Human-AI Interaction #Vision-Language Models (VLMs)#Dynamic Intent Expression #Motion Graphics #Iterative Refinement #Storyboard

2026년 1월 28일

[논문리뷰] Shallow-π: Knowledge Distillation for Flow-based VLAs

arXiv에 게시된 'Shallow-π: Knowledge Distillation for Flow-based VLAs' 논문에 대한 자세한 리뷰입니다.

#Review #Knowledge Distillation #Flow-based VLA #Transformer Compression #Real-time Robotics #Edge AI #Vision-Language-Action Models #Inference Efficiency

2026년 1월 28일

[논문리뷰] SERA: Soft-Verified Efficient Repository Agents

arXiv에 게시된 'SERA: Soft-Verified Efficient Repository Agents' 논문에 대한 자세한 리뷰입니다.

#Review #Coding Agents #Synthetic Data Generation #Repository Specialization #Supervised Finetuning #Soft Verification #Cost-Efficiency #SWE-bench

2026년 1월 28일

[논문리뷰] SE-DiCoW: Self-Enrolled Diarization-Conditioned Whisper

arXiv에 게시된 'SE-DiCoW: Self-Enrolled Diarization-Conditioned Whisper' 논문에 대한 자세한 리뷰입니다.

#Review #Target-Speaker ASR #DiCoW #Whisper Model #Multi-speaker ASR #Self-enrollment #Cross-attention #Speech Diarization

2026년 1월 28일