BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets. - Minju Kim; Chaehyeong Kim; Yongho Song; Seung-won Hwang; Jinyoung Yeo (EMNLP, 2022)

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. - Hyungjoo Chae; Yongho Song; Kai Tzu-iunn Ong; Taeyoon Kwon; Minjin Kim; Youngjae Yu; Dongha Lee 003; Dongyeop Kang; Jinyoung Yeo (EMNLP, 2023)

Revisiting Dense Retrieval with Unanswerable Counterfactuals. - Yongho Song; Dahyun Lee; Kyungjae Lee 002; Jinyeong Yeo (CoRR, 2023)

Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback. - Seungjun Moon; Yongho Song; Hyungjoo Chae; Dongjin Kang; Taeyoon Kwon; Kai Tzu-iunn Ong; Seung-won Hwang; Jinyoung Yeo (CoRR, 2023)

Towards scalable and configurable simulation for disaggregated architecture. - Daegyeong Kim; Wonwoo Choi; Chang-il Lim; Eunjin Kim; Geonwoo Kim; Yongho Song; Junsu Lee; Youngkwang Han; Hojoon Lee 001; Brent ByungHoon Kang (Simul. Model. Pract. Theory, 2023)

Interstellar: Fully Partitioned and Efficient Security Monitoring Hardware Near a Processor Core for Protecting Systems against Attacks on Privileged Software. - Yongho Song; Byeongsu Woo; Youngkwang Han; Brent ByungHoon Kang (CCS, 2024)

Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering. - Yongho Song; Dahyun Lee; Myungha Jang; Seung-won Hwang; Kyungjae Lee 002; Dongha Lee 003; Jinyoung Yeo (EACL (Findings), 2024)

Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code. - Hyungjoo Chae; Taeyoon Kwon; Seungjun Moon; Yongho Song; Dongjin Kang; Kai Tzu-iunn Ong; Beong-woo Kwak; Seonghyeon Bae; Seung-won Hwang; Jinyoung Yeo (EMNLP, 2024)