We present SELOR, a framework for integrating self-explaining capabilities into a given deep model to achieve both high prediction performance and human precision. By “human precision”, we refer to ...
Abstract: This study introduces a robust planning framework that utilizes a model predictive control (MPC) approach, enhanced by incorporating signal temporal logic (STL) specifications. This marks ...
Relates to #38846 - Env values for the existing statefulset and the desired state may not be identical if the apiversion is missing on some transitive resources like field references. A missing ...
A small-scale artificial-intelligence model that learns from only a limited pool of data is exciting researchers for its potential to boost reasoning abilities. The model, known as Tiny Recursive ...
Creative suite company Canva launched its own design model on Thursday that understands design layers and formats to power its features. The company also introduced new products and features, updates ...
ABSTRACT: Guided by the Social Learning Theory, this conceptual review examines the prevalence, risk factors, and consequences of substance use among students, drawing on evidence from national ...
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
Small language models (SLMs) offer promising and efficient alternatives to large language models (LLMs). However, SLMs’ limited capacity restricts their reasoning capabilities and makes them sensitive ...
Ensuring the correctness of electronic designs is critical, as hardware flaws are permanent post-production and can compromise software reliability or the safety of cyber-physical systems.
For a while now, we’ve been talking about transformers, frontier neural network logic models, as a transformative technology, no pun intended. But now, these attention mechanisms have other competing ...
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