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Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data.

, , и . ASAIL@JURIX, том 2764 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)

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Jaromír Balcar

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Jaromír Zeman

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Jaromir Dolezal

 

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A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education., , , , , , , , , и 5 other автор(ы). CoRR, (2023)From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education., , , и . CoRR, (2023)Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data., , и . ASAIL@JURIX, том 2764 из CEUR Workshop Proceedings, CEUR-WS.org, (2020)Can GPT Alleviate the Burden of Annotation?, , , и . JURIX, том 379 из Frontiers in Artificial Intelligence and Applications, стр. 157-166. IOS Press, (2023)Legal information retrieval for understanding statutory terms., и . Artif. Intell. Law, 30 (2): 245-289 (2022)Bridging the Gap: Mapping Layperson Narratives to Legal Issues with Language Models., , , , , , и . ASAIL@ICAIL, том 3441 из CEUR Workshop Proceedings, стр. 37-48. CEUR-WS.org, (2023)Toward summarizing case decisions via extracting argument issues, reasons, and conclusions., , и . ICAIL, стр. 250-254. ACM, (2021)Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectives., , , , , и . LLM@AIED, том 3487 из CEUR Workshop Proceedings, стр. 139-150. CEUR-WS.org, (2023)Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models., и . EMNLP (Findings), стр. 4273-4283. Association for Computational Linguistics, (2021)Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis., , , , и . JURIX, том 346 из Frontiers in Artificial Intelligence and Applications, стр. 54-57. IOS Press, (2021)