Sungho Park

Data Systems Lab

POSTECH, South Korea

shpark@dblab.postech.ac.kr

I am a Ph.D. student at Data Systems Lab @ Pohang University of Science and Technology (POSTECH), under the supervision of Professor Wook-Shin Han. My research centers on building efficient, reliable, and scalable agentic systems capable of complex reasoning over large-scale multi-modal data (e.g., tables and text). I specialize in designing heterogeneous agentic workflows that integrate SLMs and LLMs to address multi-hop queries.

Recently, I have focused on designing automated pipelines for the rigorous evaluation and training of these complex agentic systems. My work has been published in top-tier venues including ACL 2025 Main and EMNLP 2025 Main.

Research Focus

Heterogeneous Agentic Systems: Designing cost-effective workflows that orchestrate SLMs for efficient retrieval and LLMs for complex reasoning.
Agentic Retrieval over Multi-modal Data: Building robust systems for multi-hop question answering across large-scale tables and text.
Scalable Evaluation for Agentic AI: Automating the creation of rigorous benchmarks and training pipelines for multi-step agentic tasks.

Recent Achievements

ACL 2025 Main: HELIOS paper on multi-granular table-text retrieval
EMNLP 2025 Main: SAFE paper on schema-driven knowledge graph querying
KDD Cup 2024: Won multiple prizes in Meta CRAG Challenge for retrieval-augmented generation

news

May 16, 2025	🎉 My first submission to ACL is accepted! HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval achieves SOTA performance in RAG.
Jul 24, 2024	🏆 Won multiple prizes in KDD Cup 2024 Meta CRAG Challenge for retrieval-augmented generation! Our team “dRAGonRAnGers” achieved first place in comparison questions and post-processing tasks.
Apr 25, 2023	🎓 Got an internship offer from Oracle Labs (Switzerland) for summer 2023! Will be working on large language models. Congratulations to myself! 🚀

selected publications

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

Sungho Park, Jueun 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, Jueun and Han, Wook-Shin}, year = {2025}, journal = {Submitted}, }

EMNLP

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

Sangoh Lee, Sungho Park, and Wook-Shin Han

Accepted to EMNLP 2025, 2025

Abs Bib

@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},
  journal = {Accepted to EMNLP 2025},
}

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}, url = {https://aclanthology.org/2025.acl-long.1559/}, }