Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network. - Junho Kim; Jun-Hyung Park; Mingyu Lee; Wing-Lam Mok; Joon-Young Choi; SangKeun Lee 001 (EMNLP, 2022)

Client-Customized Adaptation for Parameter-Efficient Federated Learning. - Yeachan Kim; Junho Kim; Wing-Lam Mok; Jun-Hyung Park; SangKeun Lee 001 (ACL (Findings), 2023)

Mitigating Annotation Artifacts in Physical Commonsense Reasoning Benchmark. - Wing-Lam Mok; SungHo Kim (IEEE Big Data, 2023)

SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts. - Joon-Young Choi; Junho Kim; Jun-Hyung Park; Wing-Lam Mok; SangKeun Lee 001 (EMNLP, 2023)

Improving Bias Mitigation through Bias Experts in Natural Language Understanding. - Eojin Jeon; Mingyu Lee; Juhyeong Park; Yeachan Kim; Wing-Lam Mok; SangKeun Lee 001 (EMNLP, 2023)

C2A: Client-Customized Adaptation for Parameter-Efficient Federated Learning. - Yeachan Kim; Junho Kim; Wing-Lam Mok; Jun-Hyung Park; SangKeun Lee 001 (CoRR, 2024)

Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases. - Mingyu Lee; Yeachan Kim; Wing-Lam Mok; SangKeun Lee 001 (ACL (1), 2025)