Heesoo Jung — accepted AI-conference papers

2025

Enhancing Complex Reasoning in Knowledge Graph Question Answering through Query Graph Approximation

Hongjun Jeong, Minji Kim, Heesoo Jung, Ko Keun Kim, Hogun Park

ACL 2025finding

Knowledge-grounded Question Answering (QA) aims to provide answers to structured queries or natural language questions by leveraging Knowledge Graphs (KGs). Existing approaches are mainly divided into Knowledge Graph Question Answering (KGQA) and Complex Query Answering (CQA). Both approaches have l…

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2024

Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning

Jeonghoon Kim, Heesoo Jung, Hyeju Jang, Hogun Park

ACL 2024findings

Multi-hop logical reasoning on knowledge graphs is a pivotal task in natural language processing, with numerous approaches aiming to answer First-Order Logic (FOL) queries. Recent geometry (e.g., box, cone) and probability (e.g., beta distribution)-based methodologies have effectively addressed comp…

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