5 papers indexed
Weiwen Xu, Jia Liu, Hou Pong Chan, Long Li, Deng Cai, Min Chen, et al.
Reinforcement learning with verifiable rewards (RLVR) commonly uses entropy for advantage shaping. However, entropy cannot distinguish useful uncertainty from detrimental confusion, limiting its effectiveness as a correctness signal. We propose Contrastive Policy Optimization (CP…
Yiwen Xing, Philip Beaucamp, Joyraj Chakraborty, Afrah Farea, Yuanzhe Jin, Saiful Khan, et al.
Visual analytics (VA) plays an increasingly important role in supporting machine learning (ML) workflows. In the field of visualization, such approaches and techniques are referred to as VIS4ML. While ML models are mostly learned automatically, the corresponding ML workflows rece…
Min Chen, Yu Gan, Xin Jin, Yuqing Li, Junqi Wang, Zeguan Wu, et al.
Artificial intelligence (AI) and quantum information (QI) are rapidly co-evolving. AI is becoming a practical tool for learning, designing, controlling, and verifying quantum systems, while QI offers new computational models, representational structures, and learning-theoretic qu…
Yi Luo, Duxuan Zeng, Jian Zhu, Min Chen
Bridging urban–rural consumption inequality (URCI) is crucial for achieving sustainable and inclusive development. Although the welfare implications of digital infrastructure construction (DIC) have attracted increasing attention, evidence on its effect on URCI remains limited. T…
Wei Wang, Peiren Wang, Hanzhong Zhang, Xiaoyi Chen, Guoqi Wang, Yang Lu, et al.
Nowadays, additive manufacturing (AM) is advanced to deliver high-value end-use products rather than individual components. This evolution necessitates integrating multiple manufacturing processes to implement multi-material processing, much more complex structures, and the reali…