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ORCIDHyuhng Joon Kim
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2020 – today
- 2024
[c6]Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Aligning Language Models to Explicitly Handle Ambiguity. EMNLP 2024: 1989-2007- [c5]Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. EMNLP (Findings) 2024: 2421-2431 - [i8]Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Aligning Language Models to Explicitly Handle Ambiguity. CoRR abs/2404.11972 (2024) - [i7]Choonghyun Park, Hyuhng Joon Kim, Junyeob Kim, Youna Kim, Taeuk Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-goo Lee, Kang Min Yoo:
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection. CoRR abs/2406.16275 (2024) - [i6]Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim:
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts. CoRR abs/2408.01084 (2024) - 2023
- [c4]Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo
, Taeuk Kim:
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. AAAI 2023: 12709-12718 - [c3]Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. EMNLP (Findings) 2023: 5888-5905 - [c2]Hyunsoo Cho, Choonghyun Park, Junyeob Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee:
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. *SEM@ACL 2023: 225-235 - [i5]Hyunsoo Cho, Choonghyun Park, Junyeop Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee:
Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. CoRR abs/2301.11660 (2023) - [i4]Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. CoRR abs/2310.14849 (2023) - 2022
- [c1]Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim:
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. EMNLP 2022: 2422-2437 - [i3]Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations. CoRR abs/2205.12685 (2022) - [i2]Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee:
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator. CoRR abs/2206.08082 (2022) - [i1]Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners. CoRR abs/2212.10873 (2022)
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