Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants

  • 类型：arxiv
  • 标识：2607.26611
  • 链接：https://arxiv.org/abs/2607.26611
  • 主分类：evaluation
  • 形态：benchmark
  • 被引：0
  • 被引来源：Semantic Scholar + OpenAlex
  • S2被引：0
  • OpenAlex被引：0
  • 影响力被引：0
  • TLDR：CAPA, which characterizes personalized coding ambiguity through six mechanisms and injects these mechanisms into unambiguous executable tasks using a controlled three-stage generation pipeline, provides a foundation for developing long-term coding assistants that better align generated code with user intent while reducing repeated clarification.
  • OpenAlex ID：W7171776584
  • OpenAlex DOI：10.48550/arxiv.2607.26611
  • DOI：10.48550/arxiv.2607.26611
  • DOI来源：OpenAlex
  • 开放获取：green
  • 开放获取链接：https://doi.org/10.48550/arxiv.2607.26611
  • OpenAlex更新：2026-08-26
  • 待LLM分类：否
  • 标题中文：更少澄清，更优代码：面向编程助手的跨会话个性化歧义自适应基准测试
  • TLDR中文：CAPA通过六种机制刻画个性化编码歧义，并使用受控的三阶段生成流程将这些机制注入无歧义的可执行任务，为开发长期编码助手奠定基础，使其生成的代码更好地对齐用户意图并减少反复澄清。
  • 来源文件：
  • /inbox/tom/_candidates/2026-08-03-agent-rag-longcontext-candidates.json
  • [S2 enrich]
  • [OpenAlex backfill]