Papers with Code 아카이브

Procedure Learning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
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평가표
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보존된 평가 기록
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Given a set of videos of the same task, the goal is to identify the key-steps required to perform the task.

데이터셋

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LCStep

For our experiments, we collected a dataset of procedural knowledge of the LangChain Python library, unseen by many extant LLMs. We selected LangChain as the domain for our dataset because it was published in 2022, which is later than the knowledge cutoff date for many web-scale LLMs, including GPT-3.5, while also having plenty of documentation due to its popularity. The LCStep dataset was collected from 180 tutorial pages in the Python section of the LangChain website. We used an LLM-enabled pipeline with human oversight and quality review to extract 276 procedures from these tutorials, representing each procedure in a format structure.

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.