publications

2025

1. 

   SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and Tables

   Sungho Park, Juen Kim, and Wook-Shin Han

   Submitted, 2025

   Abs Bib

   SPARTA is a fully automated SQL-centric pipeline that constructs a tree-structured multi-hop QA benchmark by unifying structured and unstructured evidence from tables and text into a single relational representation.

   @article{park2024sparta,
     title = {SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and Tables},
     author = {Park, Sungho and Kim, Juen and Han, Wook-Shin},
     year = {2025},
     journal = {Submitted},
   }

2. EMNLP

   

   SAFE: Schema-Driven Approximate Distance Join for Efficient Knowledge Graph Querying

   Sangoh Lee, Sungho Park, and Wook-Shin Han

   2025

   Abs Bib

   SAFE introduces a schema-driven approximate distance join algorithm that refines noisy LLM-generated query graphs using schema-level constraints and efficiently aligns them with large knowledge graphs, enabling robust and scalable knowledge graph querying.

   @article{lee2025safe,
     title = {SAFE: Schema-Driven Approximate Distance Join for Efficient Knowledge Graph Querying},
     author = {Lee, Sangoh and Park, Sungho and Han, Wook-Shin},
     booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
     year = {2025},
     publisher = {Association for Computational Linguistics},
   }

3. ACL

   

   HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval

   Sungho Park, Joohyung Yun, Jongwuk Lee, and 1 more author

   In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

   Abs Bib

   HELIOS formulates retrieval as finding a query-relevant subgraph within a bipartite data graph built via early fusion of table segments and passages, and introduces a three-stage pipeline integrating early fusion, late fusion, and LLM reasoning.

   @inproceedings{park2025helios,
     title = {HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval},
     author = {Park, Sungho and Yun, Joohyung and Lee, Jongwuk and Han, Wook-Shin},
     booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
     pages = {32424--32444},
     year = {2025},
   }

2024

1. KDD Cup

   

   KDD Cup Meta CRAG 2024 Technical Report: Three-step Question-Answering Framework

   Sungho Park, Jeongeum Seok, Jooyoung Lee, and 2 more authors

   In 2024 KDD Cup Workshop for Retrieval Augmented Generation, 2024

   KDD Cup Winner Abs Bib

   First place in comparison questions (Tasks 1, 2, 3) and post-processing question (Task 1)

   A three-step RAG framework that minimizes unnecessary retrievals by leveraging LLMs’ inherent knowledge and introduces a verification stage to prevent error propagation, improving both accuracy and efficiency in question answering.

   @inproceedings{park2024kdd,
     title = {{KDD} Cup Meta {CRAG} 2024 Technical Report: Three-step Question-Answering Framework},
     author = {Park, Sungho and Seok, Jeongeum and Lee, Jooyoung and Yun, Joohyung and Lee, Wonseok},
     booktitle = {2024 KDD Cup Workshop for Retrieval Augmented Generation},
     year = {2024},
     url = {https://openreview.net/forum?id=G4Ei2QlKnv},
   }