Poor Man's Agentic Modeling: Simulating Large LLM-Agent Societies on a Laptop
Simulating societies of many large language model (LLM) agents is expensive, yet the questions asked of such simulati...
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Simulating societies of many large language model (LLM) agents is expensive, yet the questions asked of such simulati...
Embodied agents are increasingly built as systems around foundation models, where performance depends not only on mod...
LLM-agent services repeatedly execute small deterministic transitions between model and tool calls: route an outcome,...
AI models have achieved remarkable success across diverse domains, yet the mechanisms underlying their capabilities a...
The application of computer vision in agriculture has shown significant potential for improving crop monitoring and p...
Artificial intelligence (AI) has become a powerful approach to solving complex problems in critical domains. Many con...
We prove inference-time quantum coordination advantages for specified AI state-tracking tasks. A solver compresses se...
Self-evolving agents accumulate reusable skills by appending successful procedures and failure fixes. Over time, the ...
Rail transit systems play a vital role in urban mobility and economic development. As key components of such systems,...
Agentic coding READMEs like CLAUDE.md grow without bound in real repositories, stopping only when the repository reti...
Probabilistic forecasting plays an essential role in risk-sensitive decision-making, particularly in long-horizon set...
Logic Tensor Networks (LTN) provide a neurosymbolic framework in which first-order logic is interpreted through tenso...