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Found 5 papers, 3 papers with code
Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization
Our insights are twofold: Firstly, summary candidates can provide instructive information from both positive and negative perspectives, and secondly, selecting higher-quality candidates from multiple options contributes to producing better summaries.
Distributionally Robust Policy and Lyapunov-Certificate Learning
This article presents novel methods for synthesizing distributionally robust stabilizing neural controllers and certificates for control systems under model uncertainty.
Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines
To help improve citations of full papers, we first define a novel task of Recommending Missed Citations Identified by Reviewers (RMC) and construct a corresponding expert-labeled dataset called CitationR.
Learning Barrier Functions with Memory for Robust Safe Navigation
Control barrier functions are widely used to enforce safety properties in robot motion planning and control.
Motion Planning
Robotics
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems
The encoding is useful for sharing local visual observations with other agents under communication resource constraints.
