https://github.com/americast/resper
공식 코드RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Prediction of Persuasion Strategy in Advertisements
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations
Among Them: A game-based framework for assessing persuasion capabilities of LLMs
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems
Where Do People Tell Stories Online? Story Detection Across Online Communities
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.