[논문리뷰] Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N SamplingarXiv에 게시된 'Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling' 논문에 대한 자세한 리뷰입니다.#Review#LLM Safety#Adversarial Robustness#Best-of-N Sampling#Statistical Estimation#Beta-Binomial Model#Jailbreak#Risk Amplification2026년 2월 1일댓글 수 로딩 중
[논문리뷰] The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k OptimisationarXiv에 게시된 'The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation' 논문에 대한 자세한 리뷰입니다.#Review#Reinforcement Learning#Large Language Models#Best-of-N Sampling#Max@k Optimization#Policy Gradients#Off-policy Learning#Code Generation2025년 10월 28일댓글 수 로딩 중
[논문리뷰] A Contextual Quality Reward Model for Reliable and Efficient Best-of-N Samplingsirano1004이 arXiv에 게시한 'A Contextual Quality Reward Model for Reliable and Efficient Best-of-N Sampling' 논문에 대한 자세한 리뷰입니다.#Review#Reward Model#Best-of-N Sampling#Preference Alignment#Contextual Acceptability#Discrete Choice Model#Alignment Guardrail#Inference Accelerator2025년 10월 8일댓글 수 로딩 중