[논문리뷰] TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety AlignmentarXiv에 게시된 'TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment' 논문에 대한 자세한 리뷰입니다.#Review#LLM Safety Alignment#Reinforcement Learning#Self-Play#Red Teaming#Adversarial Training#Multi-Role Framework#Reward Hacking Mitigation2026년 1월 27일댓글 수 로딩 중
[논문리뷰] The Unanticipated Asymmetry Between Perceptual Optimization and AssessmentDu Chen이 arXiv에 게시한 'The Unanticipated Asymmetry Between Perceptual Optimization and Assessment' 논문에 대한 자세한 리뷰입니다.#Review#Perceptual Optimization#Image Quality Assessment (IQA)#Adversarial Training#Discriminators#Super-Resolution#Fidelity Metrics#Deep Learning2025년 9월 26일댓글 수 로딩 중
[논문리뷰] Language Self-Play For Data-Free TrainingVijai Mohan이 arXiv에 게시한 'Language Self-Play For Data-Free Training' 논문에 대한 자세한 리뷰입니다.#Review#Large Language Models#Reinforcement Learning#Self-Play#Data-Free Training#Instruction Following#Adversarial Training#Reward Modeling2025년 9월 10일댓글 수 로딩 중
[논문리뷰] R^textbf{2AI}: Towards Resistant and Resilient AI in an Evolving WorldBowen Zhou이 arXiv에 게시한 'R^textbf{2AI}: Towards Resistant and Resilient AI in an Evolving World' 논문에 대한 자세한 리뷰입니다.#Review#AI Safety#Resistant AI#Resilient AI#Coevolution#Fast-Slow Models#Adversarial Training#Continual Learning#AGI Alignment2025년 9월 9일댓글 수 로딩 중