[D11] industry trend monitoring — 재사용 프롬프트 팩

industry trend monitoring — 재사용 프롬프트 5개

Prompt 1

다음 5건 자료를 표 형태로 비교해줘. 컬럼은 출처·핵심주장·우리 사업 시사점.

참고 자료:

1. UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection — arxiv

https://arxiv.org/abs/2604.21904v1

2. TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale — arxiv

https://arxiv.org/abs/2604.21889v1

3. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data — arxiv

https://arxiv.org/abs/2604.21859v1

Prompt 2

이 자료들이 "industry trend monitoring"에 대한 내 가설을 강화하는지 약화하는지 한 문장씩 평가해줘.

참고 자료:

1. UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection — arxiv

https://arxiv.org/abs/2604.21904v1

2. TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale — arxiv

https://arxiv.org/abs/2604.21889v1

3. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data — arxiv

https://arxiv.org/abs/2604.21859v1

Prompt 3

가장 영향력 있는 1건을 골라 90초 분량 보이스오버 스크립트를 써줘.

참고 자료:

1. UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection — arxiv

https://arxiv.org/abs/2604.21904v1

2. TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale — arxiv

https://arxiv.org/abs/2604.21889v1

3. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data — arxiv

https://arxiv.org/abs/2604.21859v1

Prompt 4

이 자료를 모르는 강의 수강생에게 5분 분량으로 풀어 설명해줘.

참고 자료:

1. UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection — arxiv

https://arxiv.org/abs/2604.21904v1

2. TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale — arxiv

https://arxiv.org/abs/2604.21889v1

3. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data — arxiv

https://arxiv.org/abs/2604.21859v1

Prompt 5

이 자료들 중 윤리·안전 관점에서 주의해야 할 1건을 골라 그 이유를 200자 이내로 적어줘.

참고 자료:

1. UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection — arxiv

https://arxiv.org/abs/2604.21904v1

2. TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale — arxiv

https://arxiv.org/abs/2604.21889v1

3. Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data — arxiv

https://arxiv.org/abs/2604.21859v1

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_생성: Daily Research Engine v1 · 부서 D11 · 형태 prompt_pack_