Hyuhng Joon Kim

According to our database, Hyuhng Joon Kim authored at least 7 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning.

Hyunsoo Cho, Choonghyun Park, Junyeop Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee

CoRR, 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

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP.

Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners.

Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations.

Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim

CoRR, 2022

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, Sang-goo Lee, Taeuk Kim

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022