InstructionFollowing
Instructionfollowing is the capability of a system to interpret and execute user-provided instructions as intended. In AI and automation, it involves understanding natural language requests, decomposing tasks when needed, choosing appropriate steps or tools, and delivering results that conform to stated constraints or preferences. It spans language models, autonomous agents, robotics, and software automation, and depends on clear prompts, sufficient context, and mechanisms to handle ambiguity.
Approaches to improve instruction following include instruction tuning, where models are trained on datasets framed as
Evaluation of instruction following uses benchmarks that measure accuracy in adhering to instructions, fidelity of outputs
Applications and challenges include virtual assistants, customer support, code generation, data analysis, and automation workflows. While