12 accepted papers
Stable Diffusion (SD) often produces degraded outputs when the training dataset contains adversarial noise. Adversarial purification offers a promising solution by removing adversarial noise from contaminated data. However, existing purification methods are primarily designed for classification task
Although diffusion-based techniques have shown remarkable success in image generation and editing tasks, their abuse can lead to severe negative social impacts. Recently, some works have been proposed to provide defense against the abuse of diffusion-based methods. However, their protection may be l…
Large language models (LLMs) frequently refuse to respond to pseudo-malicious instructions: semantically harmless input queries triggering unnecessary LLM refusals due to conservative safety alignment, significantly impairing user experience. Collecting such instructions is crucial for evaluating an…
Text-based hyperbole and metaphor detection are of great significance for natural language processing (NLP) tasks. However, due to their semantic obscurity and expressive diversity, it is rather challenging to identify them. Existing methods mostly focus on superficial text features, ignoring the as…
With the continuous emergence of various social media platforms frequently used in daily life, the multimodal meme understanding (MMU) task has been garnering increasing attention. MMU aims to explore and comprehend the meanings of memes from various perspectives by performing tasks such as metaphor…
Stance detection, which aims to identify public opinion towards specific targets using social media data, is an important yet challenging task. With the increasing number of online debates among social media users, conversational stance detection has become a crucial research area. However, existing…
With the proliferation of dialogic data across the Internet, the Dialogue Commonsense Multi-choice Question Answering (DC-MCQ) task has emerged as a response to the challenge of comprehending user queries and intentions. Although prevailing methodologies exhibit effectiveness in addressing single-ch…
Large Language Models (LLMs) are now being considered as judges of high efficiency to evaluate the quality of answers generated by candidate models. However, their judgments may be influenced by complex scenarios and inherent biases, raising concerns about their reliability. This study aims to bridg…
Achieving short-distance flight helps improve the efficiency of bipedal robots moving in complex environments (e.g., crossing large obstacles or reaching high places) for rapid emergency missions. This study proposes a design of a flying bipedal robot named Jet-HR2 ( <xref ref-type="fig" rid="fig1"
To ensure patient safety, many hospitals have implemented rapid response process to provide care to acute patients who experience acute physiological deterioration. However, those patients sometimes have to wait for a long time before an appropriate decision can be made, due to low availability of c
Multiproduct systems are becoming more and more prevalent in modern manufacturing. In this paper, we introduce an application study of optimal control policy in a two-product door manufacturing line at an automotive assembly plant. In such a system, two types of doors for sedans and SUVs are produce
Perishable intermediate products are commonly seen in practical manufacturing systems, where the time that intermediate products spend in a buffer is limited by a certain number. Parts have to be scrapped if their maximum allowed time is exceeded. In order to reduce the scrap ratio and optimize the