arXiv AI By Lo\"is Vanh\'ee, Melania Borit, Peer-Olaf Siebers, Roger Cremades, Christopher Frantz, \"Onder G\"urcan, Franti\v{s}ek Kalvas, Denisa Reshef Kera, Vivek Nallur, Kavin Narasimhan, Martin Neumann

Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cycle

Read the original on arXiv AI →

The Flow has not summarised this story yet — read it at arXiv AI.

Hugging Face Trending Papers
Oct 9

Agentic Large Language Models

The article discusses the rise of large language models (LLMs) and their growing influence on our decisions and actions. It explores the concept of agentic LLMs—LLMs that can act directly in the real world and interact with one another. The book aims to explain how these agentic LLMs function, their capabilities, and the implications for users.

arXiv AI
Oct 12

Agentic Large Language Models

The article introduces the concept of Agentic Large Language Models, which extend traditional LLMs by enabling them to act directly in the real world and interact with one another. It outlines how these agentic LLMs function, their mechanisms for action, and the implications of their capabilities for users. The discussion highlights the growing influence of LLMs on decision-making and explores the potential shifts in how we engage with AI tools.

By Max van Duijn, Michiel van der Meer, Aske Plaat, Niki van Stein
arXiv AI
Jul 7

Exploring Plan Space through Conversation: An Agentic Framework for LLM-Mediated Explanations in Planning

arXiv:2603. 02070v3 Announce Type: replace Abstract: When automating plan generation for a real-world sequential decision problem, the goal is often not to replace the human planner, but to facilitate an iterative reasoning and elicitation process, where the human's role is to guide the AI planner according to their preferences and expertise.

By Guilhem Fouilh\'e, Rebecca Eifler, Antonin Poch\'e, Sylvie Thi\'ebaux, Nicholas Asher
arXiv AI
Jul 9

LLM-powered reasoning in agent-based modeling

arXiv:2607. 06757v1 Announce Type: new Abstract: Agent-based modeling (ABM) has the capability to model millions of individuals and their interactions, which is useful for policy making.

By Sifat Afroj Moon, Dakotah Maguire, Adam Spannaus, Joe Tuccillo, Maksudul Alam, Sudip K. Seal, John Gounley, Heidi Hanson