Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Chen, Eason"'
Autor:
Chen, Eason, Tang, Xinyi, Xiao, Zimo, Li, Chuangji, Li, Shizhuo, Tingguan, Wu, Wang, Siyun, Chalkias, Kostas Kryptos
Web3 aims to enhance user control over data and assets, but this vision is challenged by non-transparent, scam-prone applications and vulnerable smart contracts. While code audits are one solution to this problem, the lack of smart contracts source c
Externí odkaz:
http://arxiv.org/abs/2410.15275
Large language models (LLMs) have the potential to enhance K-12 STEM education by improving both teaching and learning processes. While previous studies have shown promising results, there is still a lack of comprehensive understanding regarding how
Externí odkaz:
http://arxiv.org/abs/2410.11123
Autor:
Chen, Eason
The use of Large Language Models for dialogue systems is rising, presenting a new challenge: how do we assess users' chat experience in these systems? Leveraging Natural Language Processing (NLP)-powered dialog analyzers to create dialog indicators l
Externí odkaz:
http://arxiv.org/abs/2409.17204
We developed GPTutor, a pioneering web application designed to revolutionize personalized learning by leveraging the capabilities of Generative AI at scale. GPTutor adapts educational content and practice exercises to align with individual students'
Externí odkaz:
http://arxiv.org/abs/2407.09484
Autor:
Lin, Jionghao, Chen, Eason, Han, Zeifei, Gurung, Ashish, Thomas, Danielle R., Tan, Wei, Nguyen, Ngoc Dang, Koedinger, Kenneth R.
Publikováno v:
A&A 687, A227 (2024)
Automated explanatory feedback systems play a crucial role in facilitating learning for a large cohort of learners by offering feedback that incorporates explanations, significantly enhancing the learning process. However, delivering such explanatory
Externí odkaz:
http://arxiv.org/abs/2405.00291
In this paper, we developed a blockchain application to demonstrate the functionality of Sui's recent innovations: Zero Knowledge Login and Sponsored Transactions. Zero Knowledge Login allows users to create and access their blockchain wallets just w
Externí odkaz:
http://arxiv.org/abs/2404.03845
Autor:
Han, Zifei FeiFei, Lin, Jionghao, Gurung, Ashish, Thomas, Danielle R., Chen, Eason, Borchers, Conrad, Gupta, Shivang, Koedinger, Kenneth R.
One-on-one tutoring is an effective instructional method for enhancing learning, yet its efficacy hinges on tutor competencies. Novice math tutors often prioritize content-specific guidance, neglecting aspects such as social-emotional learning. Socia
Externí odkaz:
http://arxiv.org/abs/2402.14594
Autor:
Li, Hang, Xu, Tianlong, Zhang, Chaoli, Chen, Eason, Liang, Jing, Fan, Xing, Li, Haoyang, Tang, Jiliang, Wen, Qingsong
The recent surge in generative AI technologies, such as large language models and diffusion models, has boosted the development of AI applications in various domains, including science, finance, and education. Concurrently, adaptive learning, a conce
Externí odkaz:
http://arxiv.org/abs/2402.14601
This paper presents the latest progress of GPTutor: a ChatGPT-powered programming tool extension in Visual Studio Code. The emergence of Large Language Models (LLMs) has improved software development efficiency, but their performance can be hindered
Externí odkaz:
http://arxiv.org/abs/2310.13896
Autor:
Chen, Eason, Liang, Justa, Huang, Ray, Hung, Pierce, Chen, Damien, Hsu, Ashley, Chalkias, Konstantinos, Pleros, Stefanos
Randomness plays a pivotal role in modern online gaming, but disputes have arisen over the accuracy of stated winning chances, resulting in legal issues and financial setbacks for gaming companies. Fortunately, blockchain-based games offer a solution
Externí odkaz:
http://arxiv.org/abs/2310.12305