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View article: GARMT: Grouping-Based Association Rule Mining to Predict Future Tables in Database Queries
GARMT: Grouping-Based Association Rule Mining to Predict Future Tables in Database Queries Open
In modern data management systems, structured query language (SQL) databases, as a mature and stable technology, have become the standard for processing structured data. These databases ensure data integrity through strongly typed schema d…
View article: SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users Open
Social simulation is transforming traditional social science research by modeling human behavior through interactions between virtual individuals and their environments. With recent advances in large language models (LLMs), this approach h…
View article: OFPoint: Real-Time Keypoint Detection for Optical Flow Tracking in Visual Odometry
OFPoint: Real-Time Keypoint Detection for Optical Flow Tracking in Visual Odometry Open
Visual odometry (VO), including keypoint detection, correspondence establishment, and pose estimation, is a crucial technique for determining motion in machine vision, with significant applications in augmented reality (AR), autonomous dri…
View article: From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents Open
Traditional sociological research often relies on human participation, which, though effective, is expensive, challenging to scale, and with ethical concerns. Recent advancements in large language models (LLMs) highlight their potential to…
View article: ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents
ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents Open
The massive population election simulation aims to model the preferences of specific groups in particular election scenarios. It has garnered significant attention for its potential to forecast real-world social trends. Traditional agent-b…
View article: AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models
AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models Open
The rise of various social platforms has transformed journalism. The growing demand for news content has led to the increased use of large language models (LLMs) in news production due to their speed and cost-effectiveness. However, LLMs s…
View article: Identity-Driven Hierarchical Role-Playing Agents
Identity-Driven Hierarchical Role-Playing Agents Open
Utilizing large language models (LLMs) to achieve role-playing has gained great attention recently. The primary implementation methods include leveraging refined prompts and fine-tuning on role-specific datasets. However, these methods suf…
View article: GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models
GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation Models Open
Recent advances in discriminative and generative pretraining have yielded geometry estimation models with strong generalization capabilities. While discriminative monocular geometry estimation methods rely on large-scale fine-tuning data t…
View article: G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images
G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images Open
Novel view synthesis aims to generate new view images of a given view image collection. Recent attempts address this problem relying on 3D geometry priors (e.g., shapes, sizes, and positions) learned from multi-view images. However, such m…
View article: Dynamic SFC placement scheme with parallelized SFCs and reuse of initialized VNFs: An A3C-based DRL approach
Dynamic SFC placement scheme with parallelized SFCs and reuse of initialized VNFs: An A3C-based DRL approach Open
Mobile Edge Computing (MEC) is a well-known network architecture that extends cloud computing to the network edge. Compared with cloud computing, Network Function Virtualization (NFV) can provide flexible services in MEC for mobile users. …
View article: Shedding some light on Light Up with Artificial Intelligence
Shedding some light on Light Up with Artificial Intelligence Open
The Light-Up puzzle, also known as the AKARI puzzle, has never been solved using modern artificial intelligence (AI) methods. Currently, the most widely used computational technique to autonomously develop solutions involve evolution theor…
View article: One For All: A Mutual Enhancement Method for Object Detection and Semantic Segmentation
One For All: A Mutual Enhancement Method for Object Detection and Semantic Segmentation Open
Generally, most approaches using methods such as cropping, rotating, and flipping achieve more data to train models for improving the accuracy of detection and segmentation. However, due to the difficulties of labeling such data especially…
View article: Crowd Navigation in an Unknown and Dynamic Environment Based on Deep Reinforcement Learning
Crowd Navigation in an Unknown and Dynamic Environment Based on Deep Reinforcement Learning Open
This paper presents an approach for solving the crowd navigation problem in an unknown and dynamic environment based on deep reinforcement learning. In our approach, we first make four leader agents learn how to reach their goals and avoid…
View article: Terrain Adaptive Walking of Biped Neuromuscular Virtual Human Using Deep Reinforcement Learning
Terrain Adaptive Walking of Biped Neuromuscular Virtual Human Using Deep Reinforcement Learning Open
There have been some biomechanics-based control systems that have achieved better realistic virtual human motion. Yet their abilities to adapt the changing environments are weaker than the traditional control systems with characters driven…
View article: Exploring the Consequences of Crowd Compression Through Physics-Based Simulation
Exploring the Consequences of Crowd Compression Through Physics-Based Simulation Open
Statistical analysis of accidents in recent years shows that crowd crushes have become significant non-combat, non-environmental public disasters. Unlike common accidents such as fires, crowd crushes may occur without obvious external caus…