Efficiency Matters in Autonomous Research
Efficiency Matters in Autonomous Research AI-driven autonomous research (AR) systems are increasingly used to solve complex problems in science and engineeri...
Efficiency Matters in Autonomous Research AI-driven autonomous research (AR) systems are increasingly used to solve complex problems in science and engineeri...
Identifying Good Rules for Efficient SAT Encodings of Single-Constant Multiplication Using Machine Learning The Single Constant Multiplication (SCM) problem...
Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations This paper investigates a critical flaw in how we currently...
As AI agents become increasingly capable of performing automated research and development, a critical challenge emerges: how can we ensure their outputs are...
CodeRescue addresses the challenge of managing costs when coding agents encounter errors.
DSWorld: A Data Science World Model for Efficient Autonomous Agents Autonomous data science agents are powerful tools for tasks like predictive modeling and...
What the paper is about Scientific work increasingly spans heterogeneous artifacts -- papers, code, datasets, scientific file formats, model outputs, figures...
Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI This paper addresses the "trust gap" in the artificial intelligence indus...
SMC-ES: Automated synthesis of formally verified control policies This paper addresses a critical challenge in modern robotics and autonomous systems: how to...
The Industrialization of Research ; On AI-Driven Science and Its Consequences explores the fundamental shift in how scientific discovery is conducted as arti...