Papers by Sungho Park

2 papers
HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval (2025.acl-long)

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Challenge: Existing methods for table-text retrieval are limited due to the need to bridge structured tables and unstructured passages.
Approach: They propose a table-text retrieval system that combines the strengths of both approaches . they propose bipartite subgraph retrieval and query-relevant node expansion .
Outcome: The proposed method outperforms state-of-the-art models with a 42.6% and 39.9% improvement on the OTT-QA benchmark.
SAFE: Schema-Driven Approximate Distance Join for Efficient Knowledge Graph Querying (2025.emnlp-main)

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Challenge: Existing methods map an LLM-generated query graph onto the KG or let the LLM traverse the entire graph.
Approach: They propose a framework that leverages schema graphs for robust query graph generation and efficient KG retrieval.
Outcome: Extensive experiments on WebQSP, CWQ and GrailQA show that the proposed framework outperforms state-of-the-art methods in accuracy and efficiency.

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