Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Ouyang, Yuanxin"'
Knowledge tracing (KT), aiming to mine students' mastery of knowledge by their exercise records and predict their performance on future test questions, is a critical task in educational assessment. While researchers achieved tremendous success with t
Externí odkaz:
http://arxiv.org/abs/2405.14391
Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item interactions. However, most CF methods represent users and items as fixed points in the latent space
Externí odkaz:
http://arxiv.org/abs/2404.05962
Retrieval-based code question answering seeks to match user queries in natural language to relevant code snippets. Previous approaches typically rely on pretraining models using crafted bi-modal and uni-modal datasets to align text and code represent
Externí odkaz:
http://arxiv.org/abs/2403.16702
Autor:
Xiong, Zhang, Li, Haoxuan, Liu, Zhuang, Chen, Zhuofan, Zhou, Hao, Rong, Wenge, Ouyang, Yuanxin
Publikováno v:
Frontiers of Digital Education, 2024 ,1(1): 26-50
Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance learning effectiveness. The integration of AI in educational platforms provides insights int
Externí odkaz:
http://arxiv.org/abs/2402.17236
Autor:
Peng, Keqin, Ding, Liang, Yuan, Yancheng, Liu, Xuebo, Zhang, Min, Ouyang, Yuanxin, Tao, Dacheng
Large language models (LLMs) have shown an impressive ability to perform a wide range of tasks using in-context learning (ICL), where a few examples are used to describe a task to the model. However, the performance of ICL varies significantly with t
Externí odkaz:
http://arxiv.org/abs/2401.12087
Autor:
Peng, Keqin, Ding, Liang, Zhong, Qihuang, Shen, Li, Liu, Xuebo, Zhang, Min, Ouyang, Yuanxin, Tao, Dacheng
ChatGPT shows remarkable capabilities for machine translation (MT). Several prior studies have shown that it achieves comparable results to commercial systems for high-resource languages, but lags behind in complex tasks, e.g., low-resource and dista
Externí odkaz:
http://arxiv.org/abs/2303.13780
Recommender systems, which analyze users' preference patterns to suggest potential targets, are indispensable in today's society. Collaborative Filtering (CF) is the most popular recommendation model. Specifically, Graph Neural Network (GNN) has beco
Externí odkaz:
http://arxiv.org/abs/2101.01317
Publikováno v:
In Computer Speech & Language April 2023 79
Publikováno v:
Information Discovery and Delivery, 2020, Vol. 50, Issue 1, pp. 12-21.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IDD-01-2020-0012
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