Junyeob Kim

According to our database, Junyeob Kim authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models.

Junyeob Kim, Sang-goo Lee, Taeuk Kim

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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.

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