3 citations · 7 across the 4 of their papers we have counts for
8 papers · 1 filter
PrologMCP: A Standardized Prolog Tool Interface for LLM Agents
Agnieszka Mensfelt, Adarsh Prabhakaran, Adrian Haret +2
Frontier reasoning-tuned language models still fail on deductive tasks at depth, and the cost of improved performance through extended internal reasoning scales poorly. Symbolic de…
Towards a Common Framework for Autoformalization
Agnieszka Mensfelt, David Tena Cucala, Santiago Franco +3
Autoformalization has emerged as a term referring to the automation of formalization - specifically, the formalization of mathematics using interactive theorem provers (proof assis…
The Influence of Human-inspired Agentic Sophistication in LLM-driven Strategic Reasoners
Vince Trencsenyi, Agnieszka Mensfelt, Kostas Stathis
The rapid rise of large language models (LLMs) has shifted artificial intelligence (AI) research toward agentic systems, motivating the use of weaker and more flexible notions of a…
Approximating Human Strategic Reasoning with LLM-Enhanced Recursive Reasoners Leveraging Multi-agent Hypergames
Vince Trencsenyi, Agnieszka Mensfelt, Kostas Stathis
LLM-driven multi-agent-based simulations have been gaining traction with applications in game-theoretic and social simulations. While most implementations seek to exploit or evalua…
Generative Agents for Multi-Agent Autoformalization of Interaction Scenarios
Agnieszka Mensfelt, Kostas Stathis, Vince Trencsenyi
Multi-agent simulations are versatile tools for exploring interactions among natural and artificial agents, but their development typically demands domain expertise and manual effo…
Proceedings of the First International Workshop on Next-Generation Language Models for Knowledge Representation and Reasoning (NeLaMKRR 2024)
Ken Satoh, Ha-Thanh Nguyen, Francesca Toni +2
Reasoning is an essential component of human intelligence as it plays a fundamental role in our ability to think critically, support responsible decisions, and solve challenging pr…