https://github.com/embodied-agent-eval/embodied-agent-eval
공식 코드Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Knowledge distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.