Publications

Beyond Paraphrases: Generalization Across Task Formats in Parametric Knowledge Editing

Cheongwoong Kang, Jongeun Baek, Yeonjea Kim, Jaesik Choi

Findings of EMNLPExplainable AILanguage models

Incomplete Prompt Jailbreaks in Large Language Models

Yeonjea Kim, Bumjin Park, and Jaesik Choi

Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2026.Language models

📄Paper

K-MetBench: A Multi-Dimensional Benchmark for Fine-Grained Evaluation of Expert Reasoning, Locality, and Multimodality in Meteorology

Soyeon Kim, Cheongwoong Kang, Myeongjin Lee, Eun-Chul Chang, Jaedeok Lee, and Jaesik Choi

Findings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2026.Language modelsWeather and climate

📝arXiv

When Format Changes Meaning: Investigating Semantic Inconsistency of Large Language Models

Cheongwoong Kang, Jongeun Baek, Yeonjea Kim, and Jaesik Choi

Findings of EMNLPLanguage models

📄Paper

Deontological Keyword Bias: The Impact of Modal Verbs on Normative Judgments of Language Models

Bumjin Park, Jinsil Lee and Jaesik Choi

Annual Meeting of the Association for Computational Linguistics (ACL), 2025.Language models

📄Paper

Memorizing Documents with Guidance in Large Language Models

Bumjin Park and Jaesik Choi

International Joint Conference on Artificial Intelligence (IJCAI), 2024.Language models

📄Paper

Impact of Co-occurrence on Factual Knowledge of Large Language Models

Cheongwoong Kang and Jaesik Choi

Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023.Language models

📄Paper

CR-COPEC: Causal Rationale of Corporate Performance Changes to learn from Financial Reports

Yeeun Chun, Soonjae Kwon, Kyunghwan Sohn, Nakwon Sung, Junyoup Lee, Byoung Ki Seo, Kevin Compher, Seung-won Hwang and Jaesik Choi

Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2023.Language models

📄Paper

Global Deconvolutional Networks for Semantic Segmentation

Vladimir Nekrasov, Janghoon Ju and Jaesik Choi

The British Machine Vision Conference (BMVC), 2016 (source codes).Language models

📄Paper

Reading Documents for Bayesian Online Change Point Detection

Taehoon Kim and Jaesik Choi

Conference on Empirical Methods on Natural Language Processing (EMNLP), 2015. (pdf, source codes)Language modelsTime seriesProbabilistic inference

📄Paper