Papers with Persuasive dialogue

3 papers
Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model (2024.acl-long)

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Challenge: Persuasive dialogue requires multi-turn following and planning abilities to achieve the goal of persuating users.
Approach: They propose a general method to learn a persuasive model based on LLMs through intent-to-strategy reasoning, which summarizes the intent of user’s utterance and reasons next strategy to respond.
Outcome: The proposed method outperforms baselines on automatic evaluation metric Win-Rate and human evaluation on two datasets.
Joint Semantic and Strategy Matching for Persuasive Dialogue (2023.findings-emnlp)

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Challenge: Persuasive dialogue models rely on utterance semantic matching and a key aspect has been ignored . compared with utterrance semantics, conversation strategies are high-level concepts, which can be informative and provide complementary information to achieve effective persuation.
Approach: They propose to model conversation semantics and strategies to match them using a BERT-like module and an auto-regressive predictor.
Outcome: The proposed model improves state-of-the-art by 5% on a small and 37% on 'large' datasets.
Would You Like to Make a Donation? A Dialogue System to Persuade You to Donate (2024.lrec-main)

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Challenge: Persuasive automated dialogue systems are a popular way to influence people's behavior and decision making.
Approach: They propose to use a context-aware persuasion strategy selection module to persult users . they also propose a persuasiveness prediction model to automatically evaluate the persuasiveness of generated text.
Outcome: The proposed system can achieve better performance on several automated evaluation metrics than baseline models.

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