Nakyeong Yang

According to our database, Nakyeong Yang authored at least 24 papers between 2021 and 2026.

Collaborative distances:

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

2026

Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning.

Junseok Kim, Nakyeong Yang, Kyungmin Min, Kyomin Jung

CoRR, January, 2026

Persona Switch: Mixing Distinct Perspectives in Decoding Time.

Junseok Kim, Nakyeong Yang, Kyomin Jung

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

Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning.

Sangmook Lee, Dohyung Kim, Hyukhun Koh, Nakyeong Yang, Kyomin Jung

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Training Dynamics of Parametric and In-Context Knowledge Utilization in Language Models.

Minsung Kim, Dong-Kyum Kim, Jea Kwon, Nakyeong Yang, Kyomin Jung, Meeyoung Cha

CoRR, October, 2025

Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning.

Nakyeong Yang, Dong-Kyum Kim, Jea Kwon, Minsung Kim, Kyomin Jung, Meeyoung Cha

CoRR, September, 2025

Bilinear relational structure fixes reversal curse and enables consistent model editing.

Dong-Kyum Kim, Minsung Kim, Jea Kwon, Nakyeong Yang, Meeyoung Cha

CoRR, September, 2025

Rethinking Post-Unlearning Behavior of Large Vision-Language Models.

Minsung Kim, Nakyeong Yang, Kyomin Jung

CoRR, June, 2025

Persona is a Double-Edged Sword: Rethinking the Impact of Role-play Prompts in Zero-shot Reasoning Tasks.

Junseok Kim, Nakyeong Yang, Kyomin Jung

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge.

Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Avoidance Decoding for Diverse Multi-Branch Story Generation.

Kyeongman Park, Nakyeong Yang, Kyomin Jung

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time.

Nakyeong Yang, Jiwon Moon, Junseok Kim, Yunah Jang, Kyomin Jung

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Persona is a Double-edged Sword: Enhancing the Zero-shot Reasoning by Ensembling the Role-playing and Neutral Prompts.

Junseok Kim, Nakyeong Yang, Kyomin Jung

CoRR, 2024

SKIP: Skill-Localized Prompt Tuning for Inference Speed Boost-Up.

Nakyeong Yang, Junseok Kim, Jiwon Moon, Yunah Jang, Kyomin Jung

CoRR, 2024

LongStory: Coherent, Complete and Length Controlled Long Story Generation.

Kyeongman Park, Nakyeong Yang, Kyomin Jung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors.

Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination.

Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi, Honglak Lee, Kyomin Jung

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

CRISPR: Eliminating Bias Neurons from an Instruction-following Language Model.

Nakyeong Yang, Taegwan Kang, Kyomin Jung

CoRR, 2023

MVMR: Evaluating Natural Language Video Localization Bias over Multiple Reliable Videos Pool.

Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung

CoRR, 2023

Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer.

Hyukhun Koh, Haesung Pyun, Nakyeong Yang, Kyomin Jung

CoRR, 2023

Task-specific Compression for Multi-task Language Models using Attribution-based Pruning.

Nakyeong Yang, Yunah Jang, Hwanhee Lee, Seohyeong Jeong, Kyomin Jung

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

2022

Semantic and explainable research-related recommendation system based on semi-supervised methodology using BERT and LDA models.

Nakyeong Yang, Jeongje Jo, Myeong Jun Jeon, Wooju Kim, Juyoung Kang

Expert Syst. Appl., 2022

Attribution-based Task-specific Pruning for Multi-task Language Models.

Nakyeong Yang, Yunah Jang, Hwanhee Lee, Seohyeong Jung, Kyomin Jung

CoRR, 2022

Deriving Explainable Discriminative Attributes Using Confusion About Counterfactual Class.

Nakyeong Yang, Taegwan Kang, Kyomin Jung

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction.

Taegwan Kang, Minwoo Lee, Nakyeong Yang, Kyomin Jung

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021