[논문리뷰] Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time ScalingarXiv에 게시된 'Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling' 논문에 대한 자세한 리뷰입니다.#Review#Reasoning#Small Language Models (SLMs)#Hybrid Architecture#Test-Time Scaling (TTS)#Supervised Fine-Tuning (SFT)#Reinforcement Learning (RL)#DeepConf#Computational Efficiency2026년 1월 5일댓글 수 로딩 중
[논문리뷰] Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language ModelsarXiv에 게시된 'Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models' 논문에 대한 자세한 리뷰입니다.#Review#Small Language Models (SLMs)#Latency Optimization#Hybrid Architectures#Evolutionary Search#Weight Normalization#Efficient Attention#Depth-Width Ratios#Real-device Efficiency2025년 11월 30일댓글 수 로딩 중
[논문리뷰] MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-Augmented Generation SystemsFeiyu Xiong이 arXiv에 게시한 'MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-Augmented Generation Systems' 논문에 대한 자세한 리뷰입니다.#Review#Retrieval-Augmented Generation (RAG)#Document Memory#Text Chunking#Small Language Models (SLMs)#Large Language Models (LLMs)#Scenario-Aware Processing#Multi-Layer Retrieval#Cognitive Simulation2025년 10월 17일댓글 수 로딩 중