Astana time
AI QAZAQSTANKZ · AIBeta

Smart portal about artificial intelligence and high technology in Kazakhstan

Research1 min read

From the original source:

arXiv — cs.AI

Read full article at arXiv — cs.AI

This material was compiled from public sources. If its publication affects your rights → Request removal

CLEAT: Learning Value-Guided Clarification for Interactive Agents

arXiv:2610.12655v1 Announce Type: new Abstract: LLM agents can execute increasingly complex tasks, but effective assistance also requires aligning their actions with goals and constraints that users may leave unstated. We study this problem as interactive intent alignment…

arXiv — cs.AIBy: Jiatan Huang, Zheyuan Zhang, Ziming Li, Tianyi Ma, Mingchen Li, Yanfang Ye, Chuxu ZhangOctober 12, 2026 (Oct 12)
Available in 4 languages

AI Summary & Key Takeaways

  • arXiv:2610.12655v1 Announce Type: new Abstract: LLM agents can execute increasingly complex tasks, but effective assistance also requires aligning their actions with goals and constraints that users may leave unstated
  • We study this problem as interactive intent alignment…
Research
KZ·AI 67D3
Инсайт дня

CLEAT: Learning Value-Guided Clarification for Interactive Agents

Tags:#arXiv
Share:

Related stories

Back to list