Yeonjun In

According to our database, Yeonjun In authored at least 28 papers between 2022 and 2026.

Collaborative distances:

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

2026

Reasoning Structure Matters for Safety Alignment of Reasoning Models.

Yeonjun In, Wonjoong Kim, Sangwu Park, Chanyoung Park

CoRR, April, 2026

Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation.

Yeonjun In, Mehrab Tanjim, Jayakumar Subramanian, Sungchul Kim, Uttaran Bhattacharya, Wonjoong Kim, Sangwu Park, Somdeb Sarkhel, Chanyoung Park

CoRR, March, 2026

Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback.

Sein Kim, Sangwu Park, Hongseok Kang, Wonjoong Kim, Jimin Seo, Yeonjun In, Kanghoon Yoon, Chanyoung Park

CoRR, February, 2026

2025

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents.

Wonjoong Kim, Sangwu Park, Yeonjun In, Sein Kim, Dongha Lee, Chanyoung Park

CoRR, October, 2025

SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification.

Kanghoon Yoon, Minsub Kim, Sungjae Lee, Joonhyung Lee, Sunghyeon Woo, Yeonjun In, Se Jung Kwon, Chanyoung Park, Dongsoo Lee

CoRR, October, 2025

R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge.

Yeonjun In, Wonjoong Kim, Sangwu Park, Chanyoung Park

CoRR, August, 2025

Disambiguation in Conversational Question Answering in the Era of LLM: A Survey.

Md. Mehrab Tanjim, Yeonjun In, Xiang Chen, Victor S. Bursztyn, Ryan A. Rossi, Sungchul Kim, Guang-Jie Ren, Vaishnavi Muppala, Shun Jiang, Yongsung Kim, Chanyoung Park

CoRR, May, 2025

Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems.

Kibum Kim, Sein Kim, Hongseok Kang, Jiwan Kim, Heewoong Noh, Yeonjun In, Kanghoon Yoon, Jinoh Oh, Chanyoung Park

CoRR, March, 2025

Training Robust Graph Neural Networks by Modeling Noise Dependencies.

Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park

CoRR, February, 2025

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision.

Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park

CoRR, February, 2025

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models.

Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Md. Mehrab Tanjim, Kibum Kim, Chanyoung Park

CoRR, February, 2025

Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness.

Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials.

Wonjoong Kim, Sangwu Park, Yeonjun In, Seokwon Han, Chanyoung Park

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering.

Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision.

Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey.

Md. Mehrab Tanjim, Yeonjun In, Xiang Chen, Victor S. Bursztyn, Ryan A. Rossi, Sungchul Kim, Guang-Jie Ren, Vaishnavi Muppala, Shun Jiang, Yongsung Kim, Chanyoung Park

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

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models.

Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Mehrab Tanjim, Sangwu Park, Kibum Kim, Chanyoung Park

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning.

Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning.

Kanghoon Yoon, Kibum Kim, Jaehyung Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park

CoRR, 2024

Self-Guided Robust Graph Structure Refinement.

Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park

Proceedings of the ACM on Web Conference 2024, 2024

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning.

Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park

Proceedings of the ACM on Web Conference 2024, 2024

Adaptive Self-training Framework for Fine-grained Scene Graph Generation.

Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation.

Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective.

Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park

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

2023

LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation.

Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park

CoRR, 2023

Similarity Preserving Adversarial Graph Contrastive Learning.

Yeonjun In, Kanghoon Yoon, Chanyoung Park

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Class Label-aware Graph Anomaly Detection.

Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment.

Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022