lightbulbPractical problemLLM Code Generation and Programming Assistants
Non-technical users struggle to efficiently describe programming tasks in natural language to interact with AI.Developer Tools and Programming Support / LLM Code Generation and Programming Assistants
Non-technical users struggle to efficiently describe programming tasks in natural language to interact with AI.
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lightbulbPractical problemLLM Code Generation and Programming Assistants
Users often feel lost when setting up LLM workflows and evaluation tasks.lightbulbPractical problemLLM Code Generation and Programming Assistants
Scientists may produce experimental analysis errors due to programming mistakes, undermining credibility of research conclusions.lightbulbPractical problemLLM Code Generation and Programming Assistants
Users struggle to learn software features while using AI assistants to complete tasks and lack a sense of control.lightbulbPractical problemLLM Code Generation and Programming Assistants
When programmers modify code with handwritten annotations, tools cannot automatically understand and transform their intent.UIST '24Code Shaping: Iterative Code Editing with Free-form Sketching
lightbulbPractical problemLLM Code Generation and Programming Assistants
Traditional LLM interfaces may reduce user creativity and efficiency, affecting testing outcomes.UIST '24Pay Attention! Human-Centric Improvements of LLM-based Interfaces for Assisting Software Test Case Development
lightbulbPractical problemLLM Code Generation and Programming Assistants
Novice programmers struggle to efficiently generate correct code with existing code generation tools.Related papers
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