| Accurate Learning of Graph Representations with Graph Multiset Pooling J Baek*, M Kang*, SJ Hwang ICLR 2021, 2021 | 174 | 2021 |
| Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction J Baek, DB Lee, SJ Hwang NeurIPS 2020, 2020 | 91 | 2020 |
| Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering J Baek, AF Aji, A Saffari {NLRSE, MATCHING} Workshop @ ACL 2023, 2023 | 80 | 2023 |
| Edge Representation Learning with Hypergraphs J Jo*, J Baek*, S Lee*, D Kim, M Kang, SJ Hwang NeurIPS 2021, 2021 | 51 | 2021 |
| Personalized Subgraph Federated Learning J Baek*, W Jeong*, J Jin, J Yoon, SJ Hwang ICML 2023, 2023 | 46 | 2023 |
| Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation M Kang*, JM Kwak*, J Baek*, SJ Hwang KRLM Workshop @ ICML 2022, 2022 | 34* | 2022 |
| Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks M Kang, S Lee, J Baek, K Kawaguchi, SJ Hwang NeurIPS 2023, 2023 | 29 | 2023 |
| KALA: Knowledge-Augmented Language Model Adaptation M Kang*, J Baek*, SJ Hwang NAACL 2022, 2022 | 28 | 2022 |
| Graph Self-supervised Learning with Accurate Discrepancy Learning D Kim*, J Baek*, SJ Hwang NeurIPS 2022, 2022 | 28 | 2022 |
| Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity S Jeong, J Baek, S Cho, SJ Hwang, JC Park NAACL 2024, 2024 | 19 | 2024 |
| Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation S Jeong, J Baek, CH Park, JC Park SDP Workshop @ NAACL 2021, 2021 | 16 | 2021 |
| Knowledge-Augmented Language Model Verification J Baek, S Jeong, M Kang, JC Park, SJ Hwang EMNLP 2023, 2023 | 14 | 2023 |
| Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion J Baek, N Chandrasekaran, S Cucerzan, A Herring, SK Jauhar The Web Conference (WWW) 2024, 2024 | 13* | 2024 |
| Direct Fact Retrieval from Knowledge Graphs without Entity Linking J Baek, AF Aji, J Lehmann, SJ Hwang ACL 2023, 2023 | 9 | 2023 |
| Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation S Jeong, J Baek, S Cho, SJ Hwang, JC Park ACL 2022, 2022 | 9 | 2022 |
| Task-Adaptive Neural Network Search with Meta-Contrastive Learning W Jeong*, H Lee*, G Park*, E Hyung, J Baek, SJ Hwang NeurIPS 2021, 2021 | 7 | 2021 |
| ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models J Baek, SK Jauhar, S Cucerzan, SJ Hwang arXiv preprint arXiv:2404.07738, 2024 | 4 | 2024 |
| Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks M Seo*, J Baek*, J Thorne, SJ Hwang arXiv preprint arXiv:2402.13482, 2024 | 2 | 2024 |
| Test-Time Self-Adaptive Small Language Models for Question Answering S Jeong, J Baek, S Cho, SJ Hwang, JC Park EMNLP Findings 2023, 2023 | 2 | 2023 |
| Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement S Jeong, J Baek, SJ Hwang, JC Park EACL 2023, 2023 | 1 | 2023 |
Sung Ju HwangKAIST, DeepAutoVerified email at kaist.ac.kr
