Summary of Atoxia: Red-teaming Large Language Models with Target Toxic Answers, by Yuhao Du et al.
Atoxia: Red-teaming Large Language Models with Target Toxic Answersby Yuhao Du, Zhuo Li, Pengyu Cheng,…
Summary of Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus Via Model-based Rl, by Jihwan Lee et al.
Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RLby Jihwan Lee, Woochang…
Summary of Dynamicroutegpt: a Real-time Multi-vehicle Dynamic Navigation Framework Based on Large Language Models, by Ziai Zhou et al.
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Modelsby Ziai Zhou, Bin…
Summary of Multi-agent Target Assignment and Path Finding For Intelligent Warehouse: a Cooperative Multi-agent Deep Reinforcement Learning Perspective, by Qi Liu et al.
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning…
Summary of Dutytte: Deciphering Uncertainty in Origin-destination Travel Time Estimation, by Xiaowei Mao et al.
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimationby Xiaowei Mao, Yan Lin, Shengnan Guo, Yubin…
Summary of Intelligent Opc Engineer Assistant For Semiconductor Manufacturing, by Guojin Chen et al.
Intelligent OPC Engineer Assistant for Semiconductor Manufacturingby Guojin Chen, Haoyu Yang, Bei Yu, Haoxing RenFirst…
Summary of S-epoa: Overcoming the Indistinguishability Of Segments with Skill-driven Preference-based Reinforcement Learning, by Ni Mu et al.
S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learningby Ni Mu, Yao Luan,…
Summary of Bridging Large Language Models and Optimization: a Unified Framework For Text-attributed Combinatorial Optimization, by Xia Jiang et al.
Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial Optimizationby Xia Jiang,…
Summary of Screener: a General Framework For Task-specific Experiment Design in Quantitative Mri, by Tianshu Zheng et al.
SCREENER: A general framework for task-specific experiment design in quantitative MRIby Tianshu Zheng, Zican Wang,…
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…