TradeTrap is a community-driven and developer-friendly tool for testing LLM-based trading Agents' reliability. A slight perturbation to the input instructions for LLM-based agents can upend an entire ...

Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...

Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...

Context engineering is the discipline of managing the language model's context window. Unlike prompt engineering, which focuses on crafting effective instructions, context engineering addresses the ...

Abstract: Increasing data complexity in clinical decision-making processes hinders physicians’ ability to make rapid and accurate decisions. This study proposes an innovative solution to this problem ...

Black holes are among the most extreme objects in the universe, and now scientists can model them more accurately than ever before. By combining Einstein’s gravity with realistic behavior of light and ...

A federal law enforcement officer wears a vest bearing a POLICE patch and a Homeland Security badge while standing perimeter guard during an operation that drew protestors in St. Paul last month.

Objectives We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons. Design We developed a semistochastic transmission model of COVID-19.