Additive Compositionality of Word Vectors. - Yeon Seonwoo; Sungjoon Park; Dongkwan Kim 006; Alice Oh (W-NUT@EMNLP, 2019)

Homogeneity-Based Transmissive Process to Model True and False News in Social Networks. - Jooyeon Kim; Dongkwan Kim 006; Alice Oh (WSDM, 2019)

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision. - Dongkwan Kim 006; Alice Oh (ICLR, 2021)

Models and Benchmarks for Representation Learning of Partially Observed Subgraphs. - Dongkwan Kim 006; Jiho Jin; Jaimeen Ahn; Alice Oh (CIKM, 2022)

Efficient Representation Learning of Subgraphs by Subgraph-To-Node Translation. - Dongkwan Kim 006; Alice Oh (CoRR, 2022)

Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models. - Chani Jung; Dongkwan Kim 006; Jiho Jin; Jiseon Kim; Yeon Seonwoo; Yejin Choi 001; Alice Oh; Hyunwoo Kim 002 (EMNLP, 2024)

Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning. - Dongkwan Kim 006; Alice Oh (ICML, 2024)

LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation. - Eunsu Kim; Juyoung Suk; Seungone Kim; Niklas Muennighoff; Dongkwan Kim 006; Alice Oh (ACL (Findings), 2025)

MUG-Eval: A Proxy Evaluation Framework for Multilingual Generation Capabilities in Any Language. - Seyoung Song; Seogyeong Jeong; Eunsu Kim; Jiho Jin; Dongkwan Kim 006; Jay Shin; Alice Oh (EMNLP (Findings), 2025)

Generalizing Weisfeiler-Lehman Kernels to Subgraphs. - Dongkwan Kim 006; Alice Oh (ICLR, 2025)

Measuring Interest Group Positions on Legislation: An AI-Driven Analysis of Lobbying Reports. - Jiseon Kim; Dongkwan Kim 006; Joohye Jeong; Alice Oh; In Song Kim (CoRR, 2025)