Richelieu: Self-evolving llm-based agents for ai diplomacy

Z Guan, X Kong, F Zhong… - Advances in Neural …, 2025 - proceedings.neurips.cc
Diplomacy is one of the most sophisticated activities in human society, involving complex
interactions among multiple parties that require skills in social reasoning, negotiation, and …

Large language model-based agents for software engineering: A survey

J Liu, K Wang, Y Chen, X Peng, Z Chen… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI
agents, ie, LLM-based agents. Compared to standalone LLMs, LLM-based agents …

Instigating Cooperation among LLM Agents Using Adaptive Information Modulation

Q Chen, S Ilami, N Lore, B Heydari - arxiv preprint arxiv:2409.10372, 2024 - arxiv.org
This paper introduces a novel framework combining LLM agents as proxies for human
strategic behavior with reinforcement learning (RL) to engage these agents in evolving …

PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology

F Ghezloo, MS Seyfioglu, R Soraki… - arxiv preprint arxiv …, 2025 - arxiv.org
Diagnosing diseases through histopathology whole slide images (WSIs) is fundamental in
modern pathology but is challenged by the gigapixel scale and complexity of WSIs. Trained …

[PDF][PDF] Integrating Human Expertise and Multi-Modal AI in Digital Pathology

F Ghezloo - 2024 - digital.lib.washington.edu
Whole slide imaging (WSI) has revolutionized digital pathology, yet final diagnosis still relies
heavily on pathologists' visual examination, which is often challenging due to the volume of …

Towards AI-Assisted Programming: Automation, Comprehensiveness, and Optimization

H Huang - 2024 - search.proquest.com
The rapid advancement of computing technologies presents increasingly complex
challenges in software and hardware development. Traditional programming approaches …