https://github.com/cambridgeltl/pairs
공식 코드Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
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출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.