Research on designing and evaluating LLM agents for interactive optimization through structured dialogue. Addresses fundamental patterns for agent frameworks, directly applicable to building autonomous AI-powered development tools and agentic systems.
Research
Let's Have a Conversation: Designing and Evaluating LLM Agents for Interactive Optimization
Research identifies structured dialogue patterns that improve LLM agent design and evaluation for interactive optimization, establishing reusable blueprints for autonomous development tools.
Monday, April 6, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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