Taegwan Kang

According to our database, Taegwan Kang authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

When Wording Steers the Evaluation: Framing Bias in LLM judges.

Yerin Hwang, Dongryeol Lee, Taegwan Kang, Minwoo Lee, Kyomin Jung

CoRR, January, 2026

Judging Against the Reference: Uncovering Knowledge-Driven Failures in LLM-Judges on QA Evaluation.

Dongryeol Lee, Yerin Hwang, Taegwan Kang, Minwoo Lee, Younhyung Chae, Kyomin Jung

CoRR, January, 2026

Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation.

Jiwon Moon, Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung

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

2025

SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models.

Jahyun Koo, Yerin Hwang, Yongil Kim, Taegwan Kang, Hyunkyung Bae, Kyomin Jung

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

Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation.

Yerin Hwang, Dongryeol Lee, Kyungmin Min, Taegwan Kang, Yongil Kim, Kyomin Jung

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

Can You Trick the Grader? Adversarial Persuasion of LLM Judges.

Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung

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

LLMs can be easily Confused by Instructional Distractions.

Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae, Kyomin Jung

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages.

Yongil Kim, Yerin Hwang, Hyunkyung Bae, Taegwan Kang, Kyomin Jung

IEEE Access, 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

2022

Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction.

Taegwan Kang, Segwang Kim, Hyeongu Yun, Hwanhee Lee, Kyomin Jung

IEEE Access, 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

Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model.

Yunah Jang, Dongryeol Lee, Hyung Joo Park, Taegwan Kang, Hwanhee Lee, Hyunkyung Bae, Kyomin Jung

Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021

Pairwise Context Similarity for Image Retrieval System Using Variational Auto-Encoder.

Hyeongu Yun, Yongil Kim, Taegwan Kang, Kyomin Jung

IEEE Access, 2021

Recommendation System With Hierarchical Recurrent Neural Network for Long-Term Time Series.

Byeongjin Choe, Taegwan Kang, Kyomin Jung

IEEE Access, 2021

Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation.

Taegwan Kang, Hwanhee Lee, Byeongjin Choe, Kyomin Jung

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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