[논문리뷰] Unified Spatio-Temporal Token Scoring for Efficient Video VLMsarXiv에 게시된 'Unified Spatio-Temporal Token Scoring for Efficient Video VLMs' 논문에 대한 자세한 리뷰입니다.#Review#Token Pruning#Video-Language Models (VLMs)#Computational Efficiency#Spatio-Temporal Scoring#Vision Transformers (ViT)#Large Language Models (LLM)#End-to-End Training2026년 3월 18일댓글 수 로딩 중
[논문리뷰] BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics ReasoningarXiv에 게시된 'BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Parameter-Efficient Fine-Tuning (PEFT)#Large Language Models (LLM)#Beam Mechanics#Verifiable Rewards#Engineering Reasoning#Structural Engineering#Group Relative Policy Optimization (GRPO)2026년 3월 4일댓글 수 로딩 중
[논문리뷰] DSDR: Dual-Scale Diversity Regularization for Exploration in LLM ReasoningDonghao Zhou이 arXiv에 게시한 'DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models (LLM)#Reinforcement Learning with Verifiers (RLVR)#Exploration#Diversity Regularization#Dual-Scale#Reasoning#Policy Optimization2026년 2월 23일댓글 수 로딩 중
[논문리뷰] SAGE: Scalable Agentic 3D Scene Generation for Embodied AIarXiv에 게시된 'SAGE: Scalable Agentic 3D Scene Generation for Embodied AI' 논문에 대한 자세한 리뷰입니다.#Review#Embodied AI#3D Scene Generation#Agentic Framework#Simulation-Ready Environments#Robot Policy Learning#Large Language Models (LLM)#Physics Simulation#Data Augmentation2026년 2월 10일댓글 수 로딩 중
[논문리뷰] LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAsJason Cong이 arXiv에 게시한 'LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs' 논문에 대한 자세한 리뷰입니다.#Review#FPGA#Large Language Models (LLM)#Inference Optimization#Memory-based Computation#Vector Quantization#Table Lookup#Hardware Acceleration2025년 11월 10일댓글 수 로딩 중
[논문리뷰] RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time ScalingarXiv에 게시된 'RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling' 논문에 대한 자세한 리뷰입니다.#Review#Text-to-Video Generation#Prompt Optimization#Large Language Models (LLM)#Test-Time Scaling#Retrieval-Augmented Generation#Diffusion Models#Data Alignment2025년 10월 27일댓글 수 로딩 중