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Yongjin Yang
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2020 – today
- 2025
[c9]Haneul Yoo, Yongjin Yang, Hwaran Lee:
Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding. ACL (1) 2025: 13392-13413
[c8]Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim, Yongjin Yang, Yujin Kim, Se-Young Yun:
Self-Training Elicits Concise Reasoning in Large Language Models. ACL (Findings) 2025: 25127-25152
[c7]Younwoo Choi, Changling Li
, Yongjin Yang, Zhijing Jin:
Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models. EMNLP 2025: 28895-28928
[c6]Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee:
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. ICLR 2025
[c5]Yongjin Yang, Haneul Yoo, Hwaran Lee:
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty. NAACL (Findings) 2025: 5846-5863
[i14]Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim, Yongjin Yang, Yujin Kim, Se-Young Yun:
Self-Training Elicits Concise Reasoning in Large Language Models. CoRR abs/2502.20122 (2025)
[i13]Yongjin Yang, Euiin Yi, Jongwoo Ko, Kimin Lee, Zhijing Jin, Se-Young Yun:
Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness. CoRR abs/2505.22960 (2025)
[i12]Yongjin Yang, Sinjae Kang, Juyong Lee, Dongjun Lee, Se-Young Yun, Kimin Lee:
Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback. CoRR abs/2506.04287 (2025)
[i11]Younwoo Choi, Changling Li, Yongjin Yang, Zhijing Jin:
Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models. CoRR abs/2506.22957 (2025)
[i10]David Guzman Piedrahita, Yongjin Yang, Mrinmaya Sachan, Giorgia Ramponi, Bernhard Schölkopf, Zhijing Jin:
Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games. CoRR abs/2506.23276 (2025)
[i9]Punya Syon Pandey, Yongjin Yang, Jiarui Liu, Zhijing Jin:
CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures. CoRR abs/2508.11915 (2025)- 2024
[j5]Wenbo Xu, Shuai Liu, Longtu Ma, Long Cheng, Qingchao Li, Liangliang Qing, Yongjin Yang, Zhilong Dong
:
Identification of miRNA signature in cancer-associated fibroblast to predict recurrent prostate cancer. Comput. Biol. Medicine 180: 108989 (2024)
[c4]Yongjin Yang, Taehyeon Kim
, Se-Young Yun:
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. AAAI 2024: 16370-16378
[c3]Yongjin Yang, Jongwoo Ko, Se-Young Yun:
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models. EMNLP 2024: 2066-2085
[i8]Yongjin Yang, Sihyeon Kim, SangMook Kim, Gyubok Lee, Se-Young Yun, Edward Choi:
Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL. CoRR abs/2405.01588 (2024)
[i7]Haneul Yoo, Yongjin Yang, Hwaran Lee:
CSRT: Evaluation and Analysis of LLMs using Code-Switching Red-Teaming Dataset. CoRR abs/2406.15481 (2024)
[i6]Yongjin Yang, Haneul Yoo, Hwaran Lee:
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty. CoRR abs/2408.06816 (2024)
[i5]Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee:
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. CoRR abs/2410.10166 (2024)- 2023
[c2]Minchang Kim
, Yongjin Yang
, Jung Hyun Ryu
, Taesup Kim
:
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. CIKM 2023: 1077-1086
[c1]Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun:
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. EMNLP (Findings) 2023: 5490-5505
[i4]Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim:
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. CoRR abs/2302.14640 (2023)
[i3]Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-young Yun:
HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. CoRR abs/2311.00321 (2023)
[i2]Yongjin Yang, Jongwoo Ko, Se-Young Yun:
Improving Adaptability and Generalizability of Efficient Transfer Learning for Vision-Language Models. CoRR abs/2311.15569 (2023)
[i1]Yongjin Yang, Taehyeon Kim, Se-Young Yun:
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. CoRR abs/2312.11260 (2023)- 2022
[j4]Hongxia Zhang
, Yongjin Yang
, Bodong Shang
, Peiying Zhang
:
Joint Resource Allocation and Multi-Part Collaborative Task Offloading in MEC Systems. IEEE Trans. Veh. Technol. 71(8): 8877-8890 (2022)- 2021
[j3]Hongxia Zhang
, Yongjin Yang
, Xingzhe Huang
, Chao Fang
, Peiying Zhang
:
Ultra-Low Latency Multi-Task Offloading in Mobile Edge Computing. IEEE Access 9: 32569-32581 (2021)
[j2]Hongxia Zhang
, Yanhui Dong, Yongjin Yang:
Mobility-aware personalized service recommendation in mobile edge computing. EURASIP J. Wirel. Commun. Netw. 2021(1): 196 (2021)
2010 – 2019
- 2015
[j1]Shuning Shen, Yingying Sun, Chen Zhang, Yongjin Yang, Zhiren Li, Xingwei Cai, Yinzhong Duan, Tao Li:
Bivariate optimization of orthodontic mini-implant thread height and pitch. Int. J. Comput. Assist. Radiol. Surg. 10(1): 109-116 (2015)
Coauthor Index

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last updated on 2026-02-26 23:25 CET by the dblp team
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