Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization. - Seungone Kim; Se June Joo; Hyungjoo Chae; Chaehyeong Kim; Seung-won Hwang; Jinyoung Yeo (COLING, 2022)

CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification. - Seungone Kim; Se June Joo; Yul Jang; Hyungjoo Chae; Jinyoung Yeo (EACL (System Demonstrations), 2023)

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning. - Seungone Kim; Se June Joo; Doyoung Kim 001; Joel Jang; Seonghyeon Ye; Jamin Shin; Minjoon Seo (EMNLP, 2023)

Semiparametric Token-Sequence Co-Supervision. - Hyunji Lee; Doyoung Kim 001; Jihoon Jun; Se June Joo; Joel Jang; Kyoung-Woon On; Minjoon Seo (ACL (1), 2024)

How Well Do Large Language Models Truly Ground? - Hyunji Lee; Se June Joo; Chaeeun Kim; Joel Jang; Doyoung Kim 001; Kyoung-Woon On; Minjoon Seo (NAACL-HLT, 2024)

Latent Action Pretraining from Videos. - Seonghyeon Ye; Joel Jang; Byeongguk Jeon; Se June Joo; Jianwei Yang; Baolin Peng; Ajay Mandlekar; Reuben Tan; Yu-Wei Chao; Bill Yuchen Lin; Lars Liden; Kimin Lee; et al. (ICLR, 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)

Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search. - Dongryung Lee; Se June Joo; Kimin Lee; Beomjoon Kim (CoRR, 2025)