Jailbreak Attacks and Defenses Against Large Language Models: A Survey

no code implementations • 5 Jul 2024 • Sibo Yi, Yule Liu, Zhen Sun, Tianshuo Cong, Xinlei He, Jiaxing Song, Ke Xu, Qi Li

In this paper, we propose a comprehensive and detailed taxonomy of jailbreak attack and defense methods.

Code Completion Question Answering +2

Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies

no code implementations • 29 Nov 2020 • Jinlin Lai, Lixin Zou, Jiaxing Song

Off-policy evaluation is a key component of reinforcement learning which evaluates a target policy with offline data collected from behavior policies.

Off-policy evaluation Recommendation Systems +3

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

no code implementations • 13 Feb 2019 • Lixin Zou, Long Xia, Zhuoye Ding, Jiaxing Song, Weidong Liu, Dawei Yin

Though reinforcement learning~(RL) naturally fits the problem of maximizing the long term rewards, applying RL to optimize long-term user engagement is still facing challenges: user behaviors are versatile and difficult to model, which typically consists of both instant feedback~(e. g. clicks, ordering) and delayed feedback~(e. g. dwell time, revisit); in addition, performing effective off-policy learning is still immature, especially when combining bootstrapping and function approximation.

Recommendation Systems reinforcement-learning +2