[논문리뷰] MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and GenerationarXiv에 게시된 'MMaDA-VLA: Large Diffusion Vision-Language-Action Model with Unified Multi-Modal Instruction and Generation' 논문에 대한 자세한 리뷰입니다.#Review#Vision-Language-Action (VLA)#Discrete Diffusion#Multi-modal Generation#Robotic Manipulation#Action Chunking#World Model#Hybrid Attention2026년 4월 1일댓글 수 로딩 중
[논문리뷰] HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential RecommendationarXiv에 게시된 'HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation' 논문에 대한 자세한 리뷰입니다.#Review#Sequential Recommendation#Hybrid Attention#Temporal-Aware#Long Sequences#Generative Recommendation#Linear Attention#Softmax Attention2026년 2월 25일댓글 수 로딩 중
[논문리뷰] Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active ParametersarXiv에 게시된 'Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters' 논문에 대한 자세한 리뷰입니다.#Review#Mixture-of-Experts (MoE)#Sparse Models#Inference Efficiency#Hybrid Attention#Multi-Token Prediction (MTP)#Reinforcement Learning (RL)#Agentic AI#Long-Context Understanding2026년 2월 11일댓글 수 로딩 중
[논문리뷰] HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache SharingarXiv에 게시된 'HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache Sharing' 논문에 대한 자세한 리뷰입니다.#Review#Sparse Attention#KV Cache Sharing#Hybrid Attention#Long-Context LLMs#Memory Optimization#Token Selection#Transformer Architecture2026년 2월 4일댓글 수 로딩 중
[논문리뷰] Elastic Attention: Test-time Adaptive Sparsity Ratios for Efficient TransformersarXiv에 게시된 'Elastic Attention: Test-time Adaptive Sparsity Ratios for Efficient Transformers' 논문에 대한 자세한 리뷰입니다.#Review#Transformer#Sparse Attention#Adaptive Sparsity#Efficient LLM#Attention Router#Long-Context#Hybrid Attention2026년 1월 26일댓글 수 로딩 중
[논문리뷰] Every Attention Matters: An Efficient Hybrid Architecture for Long-Context ReasoningarXiv에 게시된 'Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Long-Context LLM#Hybrid Attention#Linear Attention#Mixture-of-Experts#FP8 Training#GPU Optimization#Training-Inference Alignment#Reinforcement Learning2025년 10월 23일댓글 수 로딩 중
[논문리뷰] Native Hybrid Attention for Efficient Sequence ModelingYu Cheng이 arXiv에 게시한 'Native Hybrid Attention for Efficient Sequence Modeling' 논문에 대한 자세한 리뷰입니다.#Review#Sequence Modeling#Hybrid Attention#Transformer Architecture#Linear Attention#Sliding Window Attention#Long Context#Large Language Models (LLMs)#Efficiency2025년 10월 9일댓글 수 로딩 중