35. Hyunseo Shin, and Wonseok Hwang, Layer-wise Swapping for Generalizable Multilingual Safety, EACL 2026.

34. Hongseok Oh, Wonseok Hwang, and Kyoung-Woon On, Korean Canonical Legal Benchmark: Toward Knowledge-Independent Evaluation of LLMs' Legal Reasoning Capabilities, EACL 2026.

33. Eunkyung Choi, Young Jin Suh, Siun Lee, Hongseok Oh, Juheon Kang, Won Huh, Hun Park, and Wonseok Hwang, Taxation Perspectives from Large Language Models: A Case Study on Additional Tax Penalties, EACL 2026.

32. Hongseok Oh, and Wonseok Hwang, Do Vision Encoders Truly Explain Object Hallucination?: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore, TMLR 2026 (accepted).

31. Seungwon Woo, Hyunseo Shin, Eunkyung Choi, Juheon Kang, and Wonseok Hwang, K-SNAC: Robust Neuron Coverage for OOD Generalization and Test Adequacy, ASE 2025 Workshop: EXASE (acceptance rate: 67%).

30. Hyunjun Kim, Yeeun Kim, and Wonseok Hwang, An Analysis of the Risks Posed by AI-Driven Crime Consulting and the Need for Legal Regulation, The Justice (저스티스), Vol. 208, pp.272-298, 2025.

29. Chaeeun Kim, Jinu Lee**,** and Wonseok Hwang, LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation, EMNLP 2025.

28. Minhu Park, Hongseok Oh, Eunkyung Choi, and Wonseok Hwang, LRAGE: Legal Retrieval Augmented Generation Evaluation Tool, 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.