Jinheon Baek

According to our database, Jinheon Baek authored at least 27 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, Sung Ju Hwang

CoRR, 2024

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

CoRR, 2024

Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks.

Minju Seo, Jinheon Baek, James Thorne, Sung Ju Hwang

CoRR, 2024

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion.

Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan, Allen Herring, Sujay Kumar Jauhar

Proceedings of the ACM on Web Conference 2024, 2024

2023

Test-Time Self-Adaptive Small Language Models for Question Answering.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

CoRR, 2023

Phrase Retrieval for Open-Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning.

Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park

CoRR, 2023

Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering.

Jinheon Baek, Alham Fikri Aji, Amir Saffari

CoRR, 2023

Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation.

Minki Kang, Jin Myung Kwak, Jinheon Baek, Sung Ju Hwang

CoRR, 2023

Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement.

Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong C. Park

CoRR, 2023

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks.

Minki Kang, Seanie Lee, Jinheon Baek, Kenji Kawaguchi, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Personalized Subgraph Federated Learning.

Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang

Proceedings of the International Conference on Machine Learning, 2023

Test-Time Self-Adaptive Small Language Models for Question Answering.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong Park

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Knowledge-Augmented Language Model Verification.

Jinheon Baek, Soyeong Jeong, Minki Kang, Jong C. Park, Sung Ju Hwang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement.

Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Phrase Retrieval for Open Domain Conversational Question Answering with Conversational Dependency Modeling via Contrastive Learning.

Soyeong Jeong, Jinheon Baek, Sung Ju Hwang, Jong Park

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Direct Fact Retrieval from Knowledge Graphs without Entity Linking.

Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Graph Self-supervised Learning with Accurate Discrepancy Learning.

Dongki Kim, Jinheon Baek, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KALA: Knowledge-Augmented Language Model Adaptation.

Minki Kang, Jinheon Baek, Sung Ju Hwang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Object Detection in Aerial Images with Uncertainty-Aware Graph Network.

Jongha Kim, Jinheon Baek, Sung Ju Hwang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation.

Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, Jong C. Park

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Exploring the spatial reasoning ability of neural models in human IQ tests.

Hyunjae Kim, Yookyung Koh, Jinheon Baek, Jaewoo Kang

Neural Networks, 2021

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation.

Soyeong Jeong, Jinheon Baek, ChaeHun Park, Jong C. Park

CoRR, 2021

Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning.

Wonyong Jeong, Hayeon Lee, Gun Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang

CoRR, 2021

Edge Representation Learning with Hypergraphs.

Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Task-Adaptive Neural Network Search with Meta-Contrastive Learning.

Wonyong Jeong, Hayeon Lee, Geon Park, Eunyoung Hyung, Jinheon Baek, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accurate Learning of Graph Representations with Graph Multiset Pooling.

Jinheon Baek, Minki Kang, Sung Ju Hwang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction.

Jinheon Baek, Dong Bok Lee, Sung Ju Hwang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020