Interactive storytelling is vital for preschooler development. While children's interactive partners have traditionally been their parents and teachers, recent advances in artificial intelligence (AI) have sparked a surge of AI-based storytelling and ...

Data-to-Text Generation (D2T), a classic natural language generation problem, aims at producing fluent descriptions for structured input data, such as a table. Existing D2T works mainly focus on describing the superficial associative relations ...

This workshop aims to explore key topics in the multimedia field, focusing on multimedia content generation, quality assessment, dataset creation, and construction. These topics are essential for the growth and advancement of the multimedia domain. ...

Multimedia content's surge on the internet has made multimodal relation extraction vital for applications like intelligent search and knowledge graph construction. As a rich source of image-text data, social media plays a crucial role in populating ...

It is our great pleasure to welcome you to the 2nd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice- McGE 2024

We believe that this workshop will provide a valuable platform for researchers and ...

Tactile surface indicators (TSIs) provide ground-based tactile cues to help pedestrians who are blind or low-vision safely and independently navigate different environments. For example, TSIs can serve as warnings for hazards (e.g., edge of a subway ...

With the introduction of large language models (LLMs), automatic math reasoning has seen tremendous success. However, current methods primarily focus on providing solutions or using techniques like Chain-of-Thought to enhance problem-solving accuracy. In ...

Many studies have been conducted on handwritten mathematical expression recognition (HMER) based on encoder-decoder architecture. However, the previous methods fail to predict accurate results due to low-quality images such as blur, complex ...

Facing various complex background and diverse text image shape, this paper proposes an encoder-decoder-based scene text recognition model named E2D-Rec to enhance the recognition capability of irregular text and achieve stronger generalization. ...

Charts, as a vital part of visualization language, are omnipresent in real-world. Understanding charts is crucial for unveiling implicit data insights. The evolution of large-scale models has marked significant milestones in chart comprehension. ...

We present Fluxable, a tool for making custom sensors and actuators 3D printable with customer-grade Stereolithography (SLA) 3D printers. With this tool, the user converts an arbitrary 3D model into a deformable body with integrated helix-and-lattice ...

3D printing is transforming how we customize and create physical objects in engineering, accessibility, and art. However, this technology is still primarily limited to confined working areas and dedicated print beds, thereby detaching design and ...

The advancement of Industrial Internet-of-Things (IIoT) magnifies the cyber risk of automated production lines, especially to deception attacks that tamper with the monitoring data to prevent the manipulated operation of production lines from being ...

Accessible image exploration systems are able to help people with visual impairments (PVI) to understand image content by providing different types of interactions. With the development of computer vision technologies, image exploration systems are ...

Knowledge base question answering aims to answer complex questions from large-scale knowledge bases. Although existing generative language models that translate questions into SPARQL queries have achieved promising results, there are still ...

In the realm of modern recommender systems, user-item interaction data often exhibit sequential patterns in relation to various behaviors, such as clicks and purchases on e-commerce platforms. The objective of heterogeneous sequential ...

• Enhancing self-attention network with cross-type behavior influences to capture user short-term preferences.
• Iteratively aggregating information from nodes and behavior-relevant relationships to capture user long-term interests.
• ...

The Internet of Things (IoT) landscape is booming, and a wide range of IoT endpoints has been integrated into various aspects of life, opening opportunities for malicious attacks that compromise IoT security. Consequently, effective malicious ...

We present a novel technique that converts arbitrary 3D models into 3D printable shape-changing devices with sensing capability through the integrated helix-and-lattice structure. The structure comprises a central hollow helical channel, surrounded by ...

Retrieval-Augmented Generation (RAG) aims to generate more reliable and accurate responses, by augmenting large language models(LLMs) with the external vast and dynamic knowledge. Most previous work focuses on using RAG for single-round question ...

Ensuring high quality of software systems is highly critical in mission-critical industrial sectors such as FinTech. To test such systems, replaying the historical data (typically in the form of input field values) recorded during system real usage has ...