[논문리뷰] Diversity-Preserved Distribution Matching Distillation for Fast Visual SynthesisarXiv에 게시된 'Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis' 논문에 대한 자세한 리뷰입니다.#Review#Diffusion Models#Model Distillation#Mode Collapse#Image Generation#Diversity Preservation#Flow Matching#Few-Step Synthesis2026년 2월 3일댓글 수 로딩 중
[논문리뷰] Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-trainingHaifeng Liu이 arXiv에 게시한 'Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training' 논문에 대한 자세한 리뷰입니다.#Review#LLM Pre-training#Data Mixture Optimization#Model Merging#Proxy Models#Resource Efficiency#DeMix#Corpus Curation2026년 2월 3일댓글 수 로딩 중
[논문리뷰] CodeOCR: On the Effectiveness of Vision Language Models in Code UnderstandingarXiv에 게시된 'CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding' 논문에 대한 자세한 리뷰입니다.#Review#Vision Language Models#Code Understanding#Visual Code Representation#Code Compression#Computational Efficiency#Multimodal LLMs#Software Engineering2026년 2월 3일댓글 수 로딩 중
[논문리뷰] CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMsarXiv에 게시된 'CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#LLMs#Budget Allocation#Adaptive Learning#Capability-Oriented Value Function#Exploration-Exploitation#Resource Efficiency2026년 2월 3일댓글 수 로딩 중
[논문리뷰] Balancing Understanding and Generation in Discrete Diffusion ModelsJianbin Jiao이 arXiv에 게시한 'Balancing Understanding and Generation in Discrete Diffusion Models' 논문에 대한 자세한 리뷰입니다.#Review#Discrete Diffusion Models#Language Modeling#Image Generation#Masked Diffusion#Uniform Noise#XDLM#Stationary Noise Kernel#Pareto Frontier2026년 2월 3일댓글 수 로딩 중
[논문리뷰] AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning ProcessShilin Yan이 arXiv에 게시한 'AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Reasoning#Adaptive Learning#Vision-Language Models (VLMs)#Benchmarking#Mode Selection#Tool Learning#Reasoning Process Evaluation#Matthews Correlation Coefficient (MCC)2026년 2월 3일댓글 수 로딩 중
[논문리뷰] AOrchestra: Automating Sub-Agent Creation for Agentic OrchestrationZhaoyang Yu이 arXiv에 게시한 'AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration' 논문에 대한 자세한 리뷰입니다.#Review#Agentic Orchestration#Sub-Agent Creation#Language Agents#Dynamic Specialization#Context Management#Tool Use#Large Language Models#Cost-Performance Optimization2026년 2월 3일댓글 수 로딩 중
[논문리뷰] 3D-Aware Implicit Motion Control for View-Adaptive Human Video GenerationarXiv에 게시된 '3D-Aware Implicit Motion Control for View-Adaptive Human Video Generation' 논문에 대한 자세한 리뷰입니다.#Review#Human Video Generation#3D-Aware#Implicit Motion Control#View-Adaptive#Diffusion Models#Motion Encoder#Text-Guided Camera Control2026년 2월 3일댓글 수 로딩 중
[논문리뷰] WildGraphBench: Benchmarking GraphRAG with Wild-Source CorporaarXiv에 게시된 'WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora' 논문에 대한 자세한 리뷰입니다.#Review#GraphRAG#Benchmarking#Retrieval-Augmented Generation#Wild-Source Corpora#Multi-document Aggregation#Heterogeneous Data#Wikipedia#Long-Context Reasoning2026년 2월 2일댓글 수 로딩 중
[논문리뷰] Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia ArticlesarXiv에 게시된 'Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles' 논문에 대한 자세한 리뷰입니다.#Review#Deep Research Agents#LLM Evaluation#Wikipedia#Good Articles#Factuality#Writing Quality#Benchmark#Hallucinations#Verifiability2026년 2월 2일댓글 수 로딩 중
[논문리뷰] Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language ModelsZhen Fang이 arXiv에 게시한 'Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Large Language Models#Deep Research#Agentic AI#Tool Use#Visual Question Answering#Reinforcement Learning#Multi-scale Search2026년 2월 2일댓글 수 로딩 중
[논문리뷰] Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language ModelsShuang Chen이 arXiv에 게시한 'Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Large Language Models#Visual Question Answering#Deep Research#Benchmark#Visual Search#Textual Search#Cropped Search#Evaluation2026년 2월 2일댓글 수 로딩 중
[논문리뷰] UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and EditingSize Wu이 arXiv에 게시한 'UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Reasoning#Image Generation#Image Editing#World Knowledge#Self-Reflection#Unified Framework#Text-to-Image2026년 2월 2일댓글 수 로딩 중
[논문리뷰] Toward Cognitive Supersensing in Multimodal Large Language ModelYifan Xu이 arXiv에 게시한 'Toward Cognitive Supersensing in Multimodal Large Language Model' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Large Language Models#Cognitive Reasoning#Visual Imagery#Latent Representations#Reinforcement Learning#Visual Question Answering#Benchmark2026년 2월 2일댓글 수 로딩 중
[논문리뷰] SWE-Universe: Scale Real-World Verifiable Environments to MillionsarXiv에 게시된 'SWE-Universe: Scale Real-World Verifiable Environments to Millions' 논문에 대한 자세한 리뷰입니다.#Review#Software Engineering Environments#LLM Agents#Data Generation#Verifiable Tasks#Multilingual#Reinforcement Learning#Self-Verification#Hacking Detection2026년 2월 2일댓글 수 로딩 중
[논문리뷰] SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive LearningarXiv에 게시된 'SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning' 논문에 대한 자세한 리뷰입니다.#Review#Progressive Learning#Width Expansion#Signal Preservation#Symmetry Breaking#LLM#Training Stability#MoE#RMSNorm2026년 2월 2일댓글 수 로딩 중
[논문리뷰] SLIME: Stabilized Likelihood Implicit Margin Enforcement for Preference OptimizationarXiv에 게시된 'SLIME: Stabilized Likelihood Implicit Margin Enforcement for Preference Optimization' 논문에 대한 자세한 리뷰입니다.#Review#Preference Optimization#LLM Alignment#Direct Preference Optimization#Reference-Free#Likelihood Anchoring#Token Stabilization#Dual-Margin Loss#Unlearning2026년 2월 2일댓글 수 로딩 중
[논문리뷰] RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL SystemarXiv에 게시된 'RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Agentic AI#Reward Modeling#Environment Adaptation#Closed-loop Optimization#Multimodal Agents2026년 2월 2일댓글 수 로딩 중
[논문리뷰] PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual LossarXiv에 게시된 'PixelGen: Pixel Diffusion Beats Latent Diffusion with Perceptual Loss' 논문에 대한 자세한 리뷰입니다.#Review#Pixel Diffusion#Perceptual Loss#Latent Diffusion#Image Generation#LPIPS#DINOv2#x-prediction#End-to-End Generation2026년 2월 2일댓글 수 로딩 중
[논문리뷰] PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned RewardsarXiv에 게시된 'PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards' 논문에 대한 자세한 리뷰입니다.#Review#Text-to-Video Generation#Post-Training#Optimal Transport#Reward Modeling#Annotation-free#Vision-Language Models#Diffusion Models2026년 2월 2일댓글 수 로딩 중