MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion

Gong, Zi; Guo, Yinpeng; Zhou, Pingyi; Gao, Cuiyun; Wang, Yasheng; Xu, Zenglin

doi:10.48550/arxiv.2212.09666

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Related Work 21 Llms For Computational Programming and Modeling1

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2024

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“…First, some studies fine-tuned foundational LLMs with LRPL datasets [12]. While this approach demands considerable datasets and computational power, it has not been applied to generative tasks yet [31]. Second, some studies used prompt engineering techniques.…”

Section: Related Work 21 Llms For Computational Programming and Modelingmentioning

confidence: 99%

Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat

Chen,

Lu,

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Large Language Models (LLMs) have the potential to fundamentally change the way people engage in computer programming. Agentbased modeling (ABM) has become ubiquitous in natural and social sciences and education, yet no prior studies have explored the potential of LLMs to assist it. We designed NetLogo Chat to support the learning and practice of NetLogo, a programming language for ABM. To understand how users perceive, use, and need LLM-based interfaces, we interviewed 30 participants from global academia, industry, and graduate schools. Experts reported more perceived benefits than novices and were more inclined to adopt LLMs in their workflow. We found significant differences between experts and novices in their perceptions, behaviors, and needs for human-AI collaboration. We surfaced a knowledge gap between experts and novices as a possible reason for the benefit gap. We identified guidance, personalization, and integration as major needs for LLMbased interfaces to support the programming of ABM.

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Section: Related Work 21 Llms For Computational Programming and Modelingmentioning

confidence: 99%

Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat

Chen,

Lu,

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

show abstract

MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion

Cited by 1 publication

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Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat

Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat

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