9 accepted papers
Soft growing robots possess unique advantages, such as the ability to navigate confined and complex environments. Although securing a stable inner channel is essential for enabling a wide range of applications, such as sensor integration, tool passage, and material transfer, the pressure required fo
Large language models now draft news, legal analyses, and software code with human-level fluency. At the same time, regulations such as the EU AI Act mandate that each synthetic passage carry an imperceptible, machine-verifiable mark for provenance. Conventional logit-based watermarks satisfy this r
Immediate removal of hazardous gases is critical for ensuring safety. Traditional methods, such as portable ventilation equipment, are difficult to use when hazardous gases are released in inaccessible environments. In this paper, we propose a novel mechanism that integrates an inflatable helical st
The rapid advancement of large language models (LLMs) increases the difficulty of distinguishing between human-written and LLM-generated text. Detecting LLM-generated text is crucial for upholding academic integrity, preventing plagiarism, protecting copyrights, and ensuring ethical research practic…
The well-known rhetorical framework, ABT (And, But, Therefore), mirrors natural human cognition in structuring an argument’s logical progression - apropos to academic communication. However, distilling the complexities of research into clear and concise prose requires careful sequencing of ideas and
The reasoning, writing, text-editing, and retrieval capabilities of proprietary large language models (LLMs) have advanced rapidly, providing users with an ever-expanding set of functionalities. However, this growing utility has also led to a serious societal concern: the over-reliance on LLMs. In p
Soft growing robots have garnered significant research interest owing to their unique locomotion. However, real-world applications of these robots are limited by challenges in achieving reversible and repeatable operations, particularly when faced with buckling during retraction. Although a variety
Implicit hate speech detection is a challenging task in text classification since no explicit cues (e.g., swear words) exist in the text. While some pre-trained language models have been developed for hate speech detection, they are not specialized in implicit hate speech. Recently, an implicit hate…
Hate speech detection has gained increasing attention with the growing prevalence of hateful contents. When a text contains an obvious hate word or expression, it is fairly easy to detect it. However, it is challenging to identify implicit hate speech in nuance or context when there are insufficient…