8 accepted papers
We realize 3D robotic swarmalators that reconfigure, navigate, and avoid obstacles with formal safety on Crazyflie drones. We incorporate ellipsoidal Control Barrier Functions to avoid downwash turbulence between drones, and a combination of Control Lyapunov Function and Control Barrier Function met…
Recent generative pre-trained vision–language (GPTv) models have achieved remarkable success in multi-modal understanding, inspiring their adaptation to medical imaging tasks such as disease diagnosis and visual question answering (VQA). However, current instruction-tuned GPTv models suffer from two…
Swarmalator studies have enabled self-organized collective behaviors that emerge from dual spatial and temporal coupling, without relying on external inputs. These behaviors arise solely from attractive and repulsive interactions modulated by a few global parameters. Here, we treat the swarmalator m
Swarmalator studies have enabled self-organized collective behaviors that emerge from dual spatial and temporal coupling, without relying on external inputs. These behaviors arise solely from attractive and repulsive interactions modulated by a few global parameters. Here, we treat the swarmalator m…
Concept Bottleneck Models (CBMs) enhance interpretability by explaining predictions through human-understandable concepts but typically assume that training and test data share the same distribution. This assumption often fails under domain shifts, leading to degraded performance and poor generaliza…
Large language models (LLMs) have been widely deployed as autonomous agents capable of following user instructions and making decisions in real-world applications. Previous studies have made notable progress in benchmarking the instruction following capabilities of LLMs in general domains, with a pr…
Existing methods, such as concept bottleneck models (CBMs), have been successful in providing concept-based interpretations for black-box deep learning models. They typically work by predicting concepts given the input and then predicting the final class label given the predicted concepts. However,…
Last decades have witnessed the monumental growth of Inter-net applications, and the network security fields have attracted increasing interests as it has become a necessity due to proliferation of information technologies in everyday life. Net-work anomaly detection aims to detect the potential ano…