Natural Language Task Description
Natural language task description focuses on enabling computers to understand and execute tasks specified in human-readable language, bridging the gap between human intentions and machine actions. Current research heavily utilizes large language models (LLMs) in conjunction with techniques like classical AI planning and logic reasoning to translate natural language instructions into executable code or robot control sequences, often incorporating intermediate representations for improved accuracy. This field is crucial for advancing human-computer interaction, particularly in robotics and automated code generation, by enabling more intuitive and flexible control of complex systems.
Papers
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