Large Language Models (LLMs) have found extensive use across different applications due to its diverse capabilities and proficiency in executing instructions. In the case of chatbots, they are frequently required to show empathy when used in the ...

The design and development of text-based knowledge graph completion (KGC) methods leveraging textual entity descriptions are at the forefront of research. These methods involve advanced optimization techniques such as soft prompts and contrastive ...

Temporal sentence grounding (TSG) aims to locate a semantically related segment of an untrimmed video guided by a sentence query. Since the untrimmed videos are too long, almost all existing TSG works first sparsely down-sample each video into a shorter ...

Software vulnerabilities can cause severe security threats to cyberspace, and it is of significant importance to conduct automated vulnerability detection research. Considering that the source code contains rich syntax and semantic information, plenty ...

Current 3D mesh steganography algorithms relying on geometric modification are prone to detection by steganalyzers. In traditional steganography, adaptive steganography has proven to be an efficient means of enhancing steganography security. Taking ...

Spectrum‐based fault localization (SBFL) is considered as the most popular lightweight fault localization method. However, pure SBFL is proved to be tedious and time‐consuming for programmers to detect faults. This is because the suspiciousness ...

We propose a new spectral fault localization technique using empirical mode decomposition method to improve the accuracy of automatic software debugging. To accomplish that, the faulty program is evaluated by spectrum‐based fault localization, and then, ...

This article investigates a decentralized adaptive sliding mode formation control (SMFC) based on the leader–follower formation strategy for a class of second‐order nonlinear unknown dynamic multi‐agent systems. Unlike the first‐order multi‐agent ...