2 papers
cs.CL2026
Tool-MAD: A Multi-Agent Debate Framework for Fact Verification with Diverse Tool Augmentation and Adaptive Retrieval
Seyeon Jeong, Yeonjun Choi, JongWook Kim +1
Large Language Models (LLMs) suffer from hallucinations and factual inaccuracies, especially in complex reasoning and fact verification tasks. Multi-Agent Debate (MAD) systems aim…
cs.CL2025
"As Eastern Powers, I will veto." : An Investigation of Nation-level Bias of Large Language Models in International Relations
Jonghyeon Choi, Yeonjun Choi, Hyun-chul Kim +1
This paper systematically examines nation-level biases exhibited by Large Language Models (LLMs) within the domain of International Relations (IR). Leveraging historical records fr…