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Natural Language Elevates Coding, Planning, Robotics Performance

Natural Language Elevates Coding, Planning, Robotics Performance
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Natural language boosts LLM performance in coding, planning, and robotics

MIT CSAIL researchers create three neurosymbolic methods to help language models build libraries of better abstractions within natural language: LILO assists with code synthesis, Ada helps with AI planning, and LGA guides robotic navigation and manipulation.

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