30. Minhu Park, Hongseok Oh, Eunkyung Choi, and Wonseok Hwang, LRAGE: Legal Retrieval Augmented Generation Evaluation Tool, arXiv, 2025.
29. Hongseok Oh, and Wonseok Hwang, Vision-Encoders (Already) Know What They See: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore, arXiv, 2025.
28. Eunkyung Choi, Young Jin Suh, Hun Park, Wonseok Hwang, Taxation Perspectives from Large Language Models: A Case Study on Additional Tax Penalties, arXiv, 2025.
27. Jinu Lee, and Wonseok Hwang, SymBa: Symbolic Backward Chaining for Multi-step Natural Language, NAACL 2025.
26. Yeeun Kim, Hyunseo Shin, Eunkyung Choi, Hongseok Oh, Hyunjun Kim, and Wonseok Hwang, "On the Consideration of AI Openness: Can Good Intent Be Abused?", AAAI 2025.
25. Hyunseo Shin, and Wonseok Hwang, Causal Retrieval with Semantic Consideration, NeurIPS 2024 Workshop: Causal Representation Learning.
24. Yeeun Kim, Youngrok Choi, Eunkyung Choi, JinHwan Choi, Hai Jin Park, and Wonseok Hwang, "Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models**”**, EMNLP 2024 Findings.
23. Hongseok Oh, and Wonseok Hwang, Does Alignment Tuning Really Break LLMs' Internal Confidence?, EMNLP 2024 Workshop: BlackboxNLP (acceptance rate: 32/68).
22. Kyoungyeon Cho, Seungkum Han, Young Rok Choi, Wonseok Hwang, "NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus", EACL 2024 System Demonstration Track.
21. Hyunjun Kim, Min Choi**,** and Wonseok Hwang, "How court data reveals the impact of reformed Drinking Driving Punishment Act: Centered on changes in recidivism rates and court sentencing", Korean Criminological Review (형사정책연구), 2023.
20. Wonseok Hwang, Saehee Eom, Hanuhl Lee, Hai Jin Park, and Minjoon Seo, "Data-efficient End-to-end Information Extraction for Statistical Legal Analysis", EMNLP 2022 Workshop: Natural Legal Language Processing.
19. Wonseok Hwang, Dongjun Lee, Kyoungyeon Cho, Hanuhl Lee, and Minjoon Seo, "A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction", NeurIPS 2022.
18. Geewook Kim, Wonseok Hwang, Minjoon Seo, and Seunghyun Park, “Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching”, AAAI 2022 Workshop on Knowledge Discovery from Unstructured Data in Financial Services.
17. Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park, “OCR-free Document Understanding Transformer", ECCV 2022.
16. Teakgyu Hong, DongHyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park**,** “BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents”, AAAI 2022.
15. Wonseok Hwang, Hyunji Lee, Jinyeong Yim**,** Geewook Kim, and Minjoon Seo, “Cost-effective End-to-end Information Extraction for Semi-structured Document Images”, EMNLP 2021.
14. Wonseok Hwang, Jinyeong Yim**,** Seunghyun Park, Sohee Yang, and Minjoon Seo**,** “Spatial Dependency Parsing for 2D Document Understanding”, Findings of ACL 2021.
13. Juno Hwang, Wonseok Hwang, Junghyo Jo**,** “Tractable loss function and color image generation of multinary restricted Boltzmann machine”, NeurIPS 2020 Workshop on DiffCVGP.
12. Wonseok Hwang, Jinyeong Yim**,** Seunghyun Park, and Minjoon Seo**,** “Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing”, AKBC 2020.