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CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes

, , , и . Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, стр. 1–11. New York, NY, USA, Association for Computing Machinery, (06.02.2024)
DOI: 10.1145/3631802.3631830

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CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes, , , и . Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, стр. 1–11. New York, NY, USA, Association for Computing Machinery, (06.02.2024)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)A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education., , , , , , , , , и 5 other автор(ы). CoRR, (2023)Legal information retrieval for understanding statutory terms., и . Artif. Intell. Law, 30 (2): 245-289 (2022)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)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)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)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)