Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. - Kang Min Yoo; Junyeob Kim; Hyuhng Joon Kim; Hyunsoo Cho; Hwiyeol Jo; Sang-Woo Lee 001; Sang-goo Lee; Taeuk Kim (EMNLP, 2022)

Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator. - Hyuhng Joon Kim; Hyunsoo Cho; Junyeob Kim; Taeuk Kim; Kang Min Yoo; Sang-goo Lee (CoRR, 2022)

Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. - Hyunsoo Cho; Hyuhng Joon Kim; Junyeob Kim; Sang-Woo Lee 001; Sang-goo Lee; Kang Min Yoo; Taeuk Kim (AAAI, 2023)

Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. - Hyuhng Joon Kim; Hyunsoo Cho; Sang-Woo Lee 001; Junyeob Kim; Choonghyun Park; Sang-goo Lee; Kang Min Yoo; Taeuk Kim (EMNLP (Findings), 2023)

Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. - Hyunsoo Cho; Choonghyun Park; Junyeob Kim; Hyuhng Joon Kim; Kang Min Yoo; Sang-goo Lee (*SEM@ACL, 2023)

Aligning Language Models to Explicitly Handle Ambiguity. - Hyuhng Joon Kim; Youna Kim; Cheonbok Park; Junyeob Kim; Choonghyun Park; Kang Min Yoo; Sang-goo Lee; Taeuk Kim (EMNLP, 2024)

Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. - Youna Kim; Hyuhng Joon Kim; Cheonbok Park; Choonghyun Park; Hyunsoo Cho; Junyeob Kim; Kang Min Yoo; Sang-goo Lee; Taeuk Kim (EMNLP (Findings), 2024)

Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection. - Choonghyun Park; Hyuhng Joon Kim; Junyeob Kim; Youna Kim; Taeuk Kim; Hyunsoo Cho; Hwiyeol Jo; Sang-goo Lee; Kang Min Yoo (CoRR, 2024)