89 citations · 150 across the 7 of their papers we have counts for
8 papers
Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents
Cheonsu Jeong
This study proposes the Behavioral Protocol Framework (BPF), an entropy-controlled pluralistic alignment framework designed to address two critical challenges in autonomous agent e…
A Self-Healing Framework for Reliable LLM-Based Autonomous Agents
Cheonsu Jeong, Younggun Shin
Autonomous agents based on Large Language Models (LLMs) are increasingly being utilized in complex software systems. However, reliability remains a significant challenge due to unp…
A Study on the Framework for Evaluating the Ethics and Trustworthiness of Generative AI
Cheonsu Jeong, Seunghyun Lee, Seonhee Jeong +1
This study provides an in_depth analysis of the ethical and trustworthiness challenges emerging alongside the rapid advancement of generative artificial intelligence (AI) technolog…
E2E Process Automation Leveraging Generative AI and IDP-Based Automation Agent: A Case Study on Corporate Expense Processing
Cheonsu Jeong, Seongmin Sim, Hyoyoung Cho +2
This paper presents an intelligent work automation approach in the context of contemporary digital transformation by integrating generative AI and Intelligent Document Processing (…
Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform
Cheonsu Jeong
This study proposes the design and implementation of a multimodal LLM-based Multi-Agent System (MAS) leveraging a No-Code platform to address the practical constraints and signific…
A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph
Cheonsu Jeong
This study aims to improve knowledge-based question-answering (QA) systems by overcoming the limitations of existing Retrieval-Augmented Generation (RAG) models and implementing an…
Fine-tuning and Utilization Methods of Domain-specific LLMs
Cheonsu Jeong
Recent releases of pre-trained Large Language Models (LLMs) have gained considerable traction, yet research on fine-tuning and employing domain-specific LLMs remains scarce. This s…
A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture
Cheonsu Jeong
This study presents a method for implementing generative AI services by utilizing the Large Language Models (LLM) application architecture. With recent advancements in generative A…