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...
Existing visual localization methods are typically either 2D image-based, which are easy to build and maintain but limited in effective geometric reasoning, or ...
Reliable long-term decoding of surface electromyography (EMG) is hindered by signal drift caused by electrode shifts, muscle fatigue, and posture changes. While...
We demonstrate a deep learning framework capable of recovering physical parameters from the Nonlinear Schrodinger Equation (NLSE) under severe noise conditions....
