7 accepted papers
Zinc-based alloys are indispensable emerging absorbable metallic biomaterials, and their macroscopic performance is governed by microstructural characteristics. Intermediate phases—key microstructural constituents—are pivotal in regulating mechanical and functional properties. However, intermediate
Soft pneumatic joints, as the core components of soft robotic manipulators, often face a trade-off between multiple degrees of freedom (DoF) mobility and load capacity. Inspired by the Yoshimura origami pattern, this paper presents a rigid–soft hybrid pneumatic joint. Through spatially ordered place
Existing reinforcement learning approaches for Large Language Models typically perform policy optimization at the granularity of individual tokens or entire response sequences. However, such formulations often misalign with the natural step-wise structure of reasoning processes, leading to suboptima…
Multimodal Large Language Models (MLLMs) have demonstrated significant progress in vision-language tasks, yet they still face challenges when processing long-duration video inputs. The limitation arises from MLLMs
The magnetically controlled capsule endoscope (MCCE) is an effective tool for the examination of the digestive tract, as it is controlled by an external magnetic field to achieve active movement. Existing rotational actuation strategies are primarily focused on the study of fixed actuation angles, w
As an up-and-coming area, CLIP-based pre-trained vision-language models can readily facilitate downstream tasks through the zero-shot or few-shot fine-tuning manners. However, they still face critical challenges in test-time generalization due to the shifts between the training and test data distrib…
Few-Shot Class Incremental Learning (FSCIL) aims to continually learn new classes with few training samples without forgetting already learned old classes. Existing FSCIL methods generally fix the backbone network in incremental sessions to achieve a balance between suppressing forgetting old classe…