Summary of Advances in Preference-based Reinforcement Learning: a Review, by Youssef Abdelkareem et al.
Advances in Preference-based Reinforcement Learning: A Reviewby Youssef Abdelkareem, Shady Shehata, Fakhri KarrayFirst submitted to…
Summary of Simbench: a Rule-based Multi-turn Interaction Benchmark For Evaluating An Llm’s Ability to Generate Digital Twins, by Jingquan Wang et al.
SimBench: A Rule-Based Multi-Turn Interaction Benchmark for Evaluating an LLM’s Ability to Generate Digital Twinsby…
Summary of Understanding Epistemic Language with a Bayesian Theory Of Mind, by Lance Ying et al.
Understanding Epistemic Language with a Bayesian Theory of Mindby Lance Ying, Tan Zhi-Xuan, Lionel Wong,…
Summary of Lookism: the Overlooked Bias in Computer Vision, by Aditya Gulati and Bruno Lepri and Nuria Oliver
Lookism: The overlooked bias in computer visionby Aditya Gulati, Bruno Lepri, Nuria OliverFirst submitted to…
Summary of Enabling Small Models For Zero-shot Selection and Reuse Through Model Label Learning, by Jia Zhang et al.
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learningby Jia Zhang, Zhi…
Summary of Sigma: Selective Gated Mamba For Sequential Recommendation, by Ziwei Liu et al.
SIGMA: Selective Gated Mamba for Sequential Recommendationby Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang,…
Summary of Scans: Mitigating the Exaggerated Safety For Llms Via Safety-conscious Activation Steering, by Zouying Cao et al.
SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steeringby Zouying Cao, Yifei Yang,…
Summary of Estimating Peer Direct and Indirect Effects in Observational Network Data, by Xiaojing Du et al.
Estimating Peer Direct and Indirect Effects in Observational Network Databy Xiaojing Du, Jiuyong Li, Debo…
Summary of Mutagenesis Screen to Map the Functions Of Parameters Of Large Language Models, by Yue Hu et al.
Mutagenesis screen to map the functions of parameters of Large Language Modelsby Yue Hu, Chengming…
Summary of Explainable Deep Learning Framework For Human Activity Recognition, by Yiran Huang and Yexu Zhou and Haibin Zhao and Till Riedel and Michael Beigl
Explainable Deep Learning Framework for Human Activity Recognitionby Yiran Huang, Yexu Zhou, Haibin Zhao, Till…