This paper introduces DDMIN-LOC, a technique that combines Delta Debugging Minimization (DDMIN) with Spectrum-Based Fault Localization (SBFL). It can be applied...
Resource autoscaling mechanisms in cloud environments depend on accurate performance metrics to make optimal provisioning decisions. When infrastructure faults ...
Mechanism design is pivotal to federated learning (FL) for maximizing social welfare by coordinating self-interested clients. Existing mechanisms, however, ofte...
We deployed an LLM agent with ReAct reasoning and full data access. It executed flawlessly, yet when asked 'Why is completion rate 80%?', it returned metrics in...
Collaborative perception (CP) is a critical technology in applications like autonomous driving and smart cities. It involves the sharing and fusion of informati...
Recent advancements in large language models (LLMs) have automated various software engineering tasks, with benchmarks emerging to evaluate their capabilities. ...
In recurrent neural networks (RNNs) used to model biological neural networks, noise is typically introduced during training to emulate biological variability an...
Recent advances in language models (LMs) have driven significant progress in various software engineering tasks. However, existing LMs still struggle with compl...
We present a new blocking linearizable stack implementation which utilizes sharding and fetch&increment to achieve significantly better performance than all...
Phasor Agents are dynamical systems whose internal state is a Phasor Graph: a weighted graph of coupled Stuart-Landau oscillators. A Stuart-Landau oscillator is...
Dynamic objects in our physical 4D (3D + time) world are constantly evolving, deforming, and interacting with other objects, leading to diverse 4D scene dynamic...
Many embedded devices operate under resource constraints and in dynamic environments, requiring local decision-making capabilities. Enabling devices to make ind...
