Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums-Reference-Cited by-同舟云学术

Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums

Published:2024-03-14 Issue: Volume: Page:1752-1753
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Container-title:Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2
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Author:

Mitra Chancharik¹^ORCID,Miroyan Mihran¹^ORCID,Jain Rishi¹^ORCID,Kumud Vedant¹^ORCID,Ranade Gireeja¹^ORCID,Norouzi Narges¹^ORCID

Affiliation:

1. University of California, Berkeley, Berkeley, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626253.3635609

Reference9 articles.

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4. Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, and Jianyong Wang. 2023. FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering. arXiv preprint arXiv:2308.12060 (2023).

5. Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan. 2022. Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. In The 36th Conference on Neural Information Processing Systems (NeurIPS).

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