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Natural Language Elevates Coding, Planning, Robotics Performance

Natural Language Elevates Coding, Planning, Robotics Performance
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United statesJacob andreasBelindaz liPratyusha sharmaJoshua tenenbaumNoa korneevJulie shahIlia sucholutskyAda lovelaceMaddy bowersMadison robert hawkinsZachary siegelJaihai fengTheox olaussonMuxin liuJiayuan mao

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.

United statesAda lovelaceZachary siegelBelindaz liJacob andreasPratyusha sharmaJoshua tenenbaumNoa korneevJulie shahIlia sucholutskyTheox olaussonJaihai fengMaddy bowersMadison robert hawkinsJiayuan maoMuxin liu