1 citations · 1 across the 5 of their papers we have counts for
5 papers
GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG Methods
Seonho An, Chaejeong Hyun, Min-Soo Kim
Graph RAG mitigates hallucinations and stale knowledge in LLMs, particularly for multi-hop question answering. However, existing approaches remain highly fragmented and incompatibl…
GraFine: Retrieval-Time Refinement for Efficient Graph RAG over Corpus Graphs
Seonho An, Chaejeong Hyun, Min-Soo Kim
Graph RAG on corpus graphs enhances retrieval by leveraging intermediate node content as contextual clues to uncover unretrieved oracle nodes. However, existing methods suffer from…
Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
Chunsan Hong, Seonho An, Min-Soo Kim +1
Masked diffusion models (MDMs) have recently emerged as a novel framework for language modeling. MDMs generate sentences by iteratively denoising masked sequences, filling in [MASK…
A Method for Detecting Legal Article Competition for Korean Criminal Law Using a Case-augmented Mention Graph
Seonho An, Young Yik Rhim, Min-Soo Kim
As social systems become increasingly complex, legal articles are also growing more intricate, making it progressively harder for humans to identify any potential competitions amon…
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
Myeonghwa Lee, Seonho An, Min-Soo Kim
In this paper, we conduct a study to utilize LLMs as a solution for decision making that requires complex data analysis. We define Decision QA as the task of answering the best dec…