3 papers
cs.CL2026
GRACE: Graph-Grounded Reflective Agent Copilot Engine for Expert-in-the-Loop Knowledge Expansion
John Seon Keun Yi, Joshua R. Minot, Dokyun Lee
Large language models deployed in high-stakes settings frequently generate plausible but ungrounded claims. Standard retrieval-augmented generation (RAG) pipelines offer limited re…
cs.AI2026
Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate
John Seon Keun Yi, Aaron Mueller, Dokyun Lee
Multi-agent debate has been shown to improve reasoning in large language models (LLMs). However, it is compute-intensive, requiring generation of long transcripts before answering…
econ.GN2024
Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina
Yuan Gao, Dokyun Lee, Gordon Burtch +1
Recent studies suggest large language models (LLMs) can exhibit human-like reasoning, aligning with human behavior in economic experiments, surveys, and political discourse. This h…