12 citations · 12 across the 4 of their papers we have counts for
4 papers
TRACE-Memory: Public-Conditioned Retrieval and Utility-Aware Evidence Admission for Personalized Generation
Jing Wang, Zhu Wang, Yifan Guo +2
Personalized generation systems retrieve user history by request--memory relevance and inject it into the model context. Yet relevant history may concern the wrong preference aspec…
Algorithmic Feature Highlighting for Human-AI Decision-Making
Yifan Guo, Jann Spiess
Human decision-makers often face choices about complex cases with many potentially relevant features, but limited bandwidth to inspect and integrate all available information. In s…
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang, Kaiyi Ji, Junyi Geng +16
Data-driven methods such as reinforcement and imitation learning have achieved remarkable success in robot autonomy. However, their data-centric nature still hinders them from gene…
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning
Yifan Guo, Zhongqiang Ren, Chen Wang
This paper considers a Min-Max Multiple Traveling Salesman Problem (MTSP), where the goal is to find a set of tours, one for each agent, to collectively visit all the cities while…