[D18] fact verification pipeline — 재사용 프롬프트 팩
_D18 · prompt_pack · 2026-04-27_
fact verification pipeline — 재사용 프롬프트 5개
Prompt 1
다음 5건 자료를 표 형태로 비교해줘. 컬럼은 출처·핵심주장·우리 사업 시사점.
참고 자료:
1. EnFVe: An Ensemble Fact Verification Pipeline — semantic_scholar
https://www.semanticscholar.org/paper/78276480984c338ab5f186d4ba38385a013be36a
2. LEAP: An LLM-Based Evidence Augmented Pipeline for Table-Based Fact Verification — semantic_scholar
https://www.semanticscholar.org/paper/82fd30f62c40a96252b16d0fe9f6bbc4946ea9d4
3. Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning — semantic_scholar
https://www.semanticscholar.org/paper/99762070c90458c9b46ec1baf3b21f8423574b0b
Prompt 2
이 자료들이 "fact verification pipeline"에 대한 내 가설을 강화하는지 약화하는지 한 문장씩 평가해줘.
참고 자료:
1. EnFVe: An Ensemble Fact Verification Pipeline — semantic_scholar
https://www.semanticscholar.org/paper/78276480984c338ab5f186d4ba38385a013be36a
2. LEAP: An LLM-Based Evidence Augmented Pipeline for Table-Based Fact Verification — semantic_scholar
https://www.semanticscholar.org/paper/82fd30f62c40a96252b16d0fe9f6bbc4946ea9d4
3. Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning — semantic_scholar
https://www.semanticscholar.org/paper/99762070c90458c9b46ec1baf3b21f8423574b0b
Prompt 3
가장 영향력 있는 1건을 골라 90초 분량 보이스오버 스크립트를 써줘.
참고 자료:
1. EnFVe: An Ensemble Fact Verification Pipeline — semantic_scholar
https://www.semanticscholar.org/paper/78276480984c338ab5f186d4ba38385a013be36a
2. LEAP: An LLM-Based Evidence Augmented Pipeline for Table-Based Fact Verification — semantic_scholar
https://www.semanticscholar.org/paper/82fd30f62c40a96252b16d0fe9f6bbc4946ea9d4
3. Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning — semantic_scholar
https://www.semanticscholar.org/paper/99762070c90458c9b46ec1baf3b21f8423574b0b
Prompt 4
이 자료를 모르는 강의 수강생에게 5분 분량으로 풀어 설명해줘.
참고 자료:
1. EnFVe: An Ensemble Fact Verification Pipeline — semantic_scholar
https://www.semanticscholar.org/paper/78276480984c338ab5f186d4ba38385a013be36a
2. LEAP: An LLM-Based Evidence Augmented Pipeline for Table-Based Fact Verification — semantic_scholar
https://www.semanticscholar.org/paper/82fd30f62c40a96252b16d0fe9f6bbc4946ea9d4
3. Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning — semantic_scholar
https://www.semanticscholar.org/paper/99762070c90458c9b46ec1baf3b21f8423574b0b
Prompt 5
이 자료들 중 윤리·안전 관점에서 주의해야 할 1건을 골라 그 이유를 200자 이내로 적어줘.
참고 자료:
1. EnFVe: An Ensemble Fact Verification Pipeline — semantic_scholar
https://www.semanticscholar.org/paper/78276480984c338ab5f186d4ba38385a013be36a
2. LEAP: An LLM-Based Evidence Augmented Pipeline for Table-Based Fact Verification — semantic_scholar
https://www.semanticscholar.org/paper/82fd30f62c40a96252b16d0fe9f6bbc4946ea9d4
3. Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning — semantic_scholar
https://www.semanticscholar.org/paper/99762070c90458c9b46ec1baf3b21f8423574b0b
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_생성: Daily Research Engine v1 · 부서 D18 · 형태 prompt_pack_