Asia
Explore to Generalize in Zero-Shot RL
Recent developments in reinforcement learning (RL) led to algorithms that surpass human experts in a broad range of tasks [Mnih et al., 2015, Vinyals et al., 2019, Schrittwieser et al., 2020, Wurman et al.,
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey Xian Wu
In this paper, we address this gap by dividing a typical patient's clinical journey
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
Di Lin is the corresponding author of this paper.
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
Large Language Models (LLMs) are increasingly deployed in various applications. As their usage grows, concerns regarding their safety are rising, especially in maintaining harmless responses when faced with malicious instructions.
