Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction. - Jinheon Baek; Dong Bok Lee; Sung Ju Hwang (NeurIPS, 2020)

Accurate Learning of Graph Representations with Graph Multiset Pooling. - Jinheon Baek; Minki Kang; Sung Ju Hwang (ICLR, 2021)

Task-Adaptive Neural Network Search with Meta-Contrastive Learning. - Wonyong Jeong; Hayeon Lee; Geon Park; Eunyoung Hyung; Jinheon Baek; Sung Ju Hwang (NeurIPS, 2021)

Edge Representation Learning with Hypergraphs. - Jaehyeong Jo; Jinheon Baek; Seul Lee; Dongki Kim; Minki Kang; Sung Ju Hwang (NeurIPS, 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)

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation. - Soyeong Jeong; Jinheon Baek; ChaeHun Park; Jong C. Park (CoRR, 2021)

Exploring the spatial reasoning ability of neural models in human IQ tests. - Hyunjae Kim; Yookyung Koh; Jinheon Baek; Jaewoo Kang (Neural Networks, 2021)

Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation. - Soyeong Jeong; Jinheon Baek; Sukmin Cho; Sung Ju Hwang; Jong C. Park (ACL (2), 2022)

Object Detection in Aerial Images with Uncertainty-Aware Graph Network. - Jongha Kim; Jinheon Baek; Sung Ju Hwang (ECCV Workshops (4), 2022)

KALA: Knowledge-Augmented Language Model Adaptation. - Minki Kang; Jinheon Baek; Sung Ju Hwang (NAACL-HLT, 2022)

Graph Self-supervised Learning with Accurate Discrepancy Learning. - Dongki Kim; Jinheon Baek; Sung Ju Hwang (NeurIPS, 2022)

Direct Fact Retrieval from Knowledge Graphs without Entity Linking. - Jinheon Baek; Alham Fikri Aji; Jens Lehmann 001; Sung Ju Hwang (ACL (1), 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 (ACL (Findings), 2023)

Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement. - Soyeong Jeong; Jinheon Baek; Sung Ju Hwang; Jong Park (EACL, 2023)

Knowledge-Augmented Language Model Verification. - Jinheon Baek; Soyeong Jeong; Minki Kang; Jong C. Park; Sung Ju Hwang (EMNLP, 2023)

Test-Time Self-Adaptive Small Language Models for Question Answering. - Soyeong Jeong; Jinheon Baek; Sukmin Cho; Sung Ju Hwang; Jong Park (EMNLP (Findings), 2023)

Personalized Subgraph Federated Learning. - Jinheon Baek; Wonyong Jeong; Jiongdao Jin; Jaehong Yoon; Sung Ju Hwang (ICML, 2023)

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. - Minki Kang; Seanie Lee; Jinheon Baek; Kenji Kawaguchi; Sung Ju Hwang (NeurIPS, 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 Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation. - Minki Kang; Jin Myung Kwak; Jinheon Baek; Sung Ju Hwang (CoRR, 2023)

Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering. - Jinheon Baek; Alham Fikri Aji; Amir Saffari (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)

Test-Time Self-Adaptive Small Language Models for Question Answering. - Soyeong Jeong; Jinheon Baek; Sukmin Cho; Sung Ju Hwang; Jong C. Park (CoRR, 2023)

An Empirical Study of Multilingual Reasoning Distillation for Question Answering. - Patomporn Payoungkhamdee; Peerat Limkonchotiwat; Jinheon Baek; Potsawee Manakul; Can Udomcharoenchaikit; Ekapol Chuangsuwanich; Sarana Nutanong (EMNLP, 2024)

Rethinking Code Refinement: Learning to Judge Code Efficiency. - Minju Seo; Jinheon Baek; Sung Ju Hwang (EMNLP (Findings), 2024)

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity. - Soyeong Jeong; Jinheon Baek; Sukmin Cho; Sung Ju Hwang; Jong Park (NAACL-HLT, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Santiago Góngora; Aishik Mandal; Sukannya Purkayastha; Jesús-Germán Ortiz-Barajas; Emilio Villa-Cueva; Jinheon Baek; Soyeong Jeong; Injy Hamed; Zheng Xin Yong; et al. (NeurIPS, 2024)

Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion. - Jinheon Baek; Nirupama Chandrasekaran; Silviu Cucerzan; Allen Herring; Sujay Kumar Jauhar (WWW, 2024)

Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks. - Minju Seo; Jinheon Baek; James Thorne; 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)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Teresa Lynn; Injy Hamed; Aditya Nanda Kishore; Aishik Mandal; Alina Dragonetti; Artem Abzaliev; Atnafu Lambebo Tonja; Bontu Fufa Balcha; Chenxi Whitehouse; et al. (CoRR, 2024)

Database-Augmented Query Representation for Information Retrieval. - Soyeong Jeong; Jinheon Baek; Sukmin Cho; Sung Ju Hwang; Jong C. Park (CoRR, 2024)

Unified Multi-Modal Interleaved Document Representation for Information Retrieval. - Jaewoo Lee; Joonho Ko; Jinheon Baek; Soyeong Jeong; Sung Ju Hwang (CoRR, 2024)

Revisiting In-Context Learning with Long Context Language Models. - Jinheon Baek; Sun Jae Lee; Prakhar Gupta; Geunseob Oh; Siddharth Dalmia; Prateek Kolhar (ACL (Findings), 2025)

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL. - Jinheon Baek; Horst Samulowitz; Oktie Hassanzadeh; Dharmashankar Subramanian; Sola Shirai; Alfio Gliozzo; Debarun Bhattacharjya (ACL (Findings), 2025)

VideoRAG: Retrieval-Augmented Generation over Video Corpus. - Soyeong Jeong; Kangsan Kim; Jinheon Baek; Sung Ju Hwang (ACL (Findings), 2025)

Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments. - Patomporn Payoungkhamdee; Pume Tuchinda; Jinheon Baek; Samuel Cahyawijaya; Can Udomcharoenchaikit; Potsawee Manakul; Peerat Limkonchotiwat; Ekapol Chuangsuwanich; Sarana Nutanong (ACL (Findings), 2025)

Efficient Long Context Language Model Retrieval with Compression. - Minju Seo; Jinheon Baek; Seongyun Lee; Sung Ju Hwang (ACL (1), 2025)

ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models. - Jinheon Baek; Sujay Kumar Jauhar; Silviu Cucerzan; Sung Ju Hwang (NAACL (Long Papers), 2025)

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. - Seungone Kim; Juyoung Suk; Ji Yong Cho; Shayne Longpre; Chaeeun Kim; Dongkeun Yoon; Guijin Son; Yejin Choi 001; Sheikh Shafayat; Jinheon Baek; Sue Hyun Park; Hyeonbin Hwang; et al. (NAACL (Long Papers), 2025)

Real-time Verification and Refinement of Language Model Text Generation. - Joonho Ko; Jinheon Baek; Sung Ju Hwang (CoRR, 2025)

Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching. - Simon A. Aytes; Jinheon Baek; Sung Ju Hwang (CoRR, 2025)

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning. - Minju Seo; Jinheon Baek; Seongyun Lee; Sung Ju Hwang (CoRR, 2025)

UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities. - Woongyeong Yeo; Kangsan Kim; Soyeong Jeong; Jinheon Baek; Sung Ju Hwang (CoRR, 2025)

System Prompt Optimization with Meta-Learning. - Yumin Choi; Jinheon Baek; Sung Ju Hwang (CoRR, 2025)

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation. - Emilio Villa-Cueva; Sholpan Bolatzhanova; Diana Turmakhan; Kareem Elzeky; Henok Biadglign Ademtew; Alham Fikri Aji; Israel Abebe Azime; Jinheon Baek; Frederico Belcavello; Fermin Cristobal; Jan Christian Blaise Cruz; Mary Dabre; et al. (CoRR, 2025)

PRISM: Fine-Grained Paper-to-Paper Retrieval with Multi-Aspect-Aware Query Optimization. - Sangwoo Park; Jinheon Baek; Soyeong Jeong; Sung Ju Hwang (CoRR, 2025)

Rethinking Reward Models for Multi-Domain Test-Time Scaling. - Dong Bok Lee; Seanie Lee; Sangwoo Park; Minki Kang; Jinheon Baek; Dongki Kim; Dominik Wagner 002; Jiongdao Jin; Heejun Lee; Tobias Bocklet; Jinyu Wang; Jingjing Fu; et al. (CoRR, 2025)

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs. - Yumin Choi; Dongki Kim; Jinheon Baek; Sung Ju Hwang (CoRR, 2025)