[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] Evaluating Parameter Efficient Methods for RLVRarXiv에 게시된 'Evaluating Parameter Efficient Methods for RLVR' 논문에 대한 자세한 리뷰입니다.#Review#Parameter-Efficient Fine-Tuning (PEFT)#Reinforcement Learning with Verifiable Rewards (RLVR)#Low-Rank Adaptation (LoRA)#Mathematical Reasoning#LLM Adaptation#SVD Initialization2025년 12월 30일댓글 수 로딩 중