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Persuasiveness

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Showing 51–75 of 97 papers

TitleStatusHype
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation—0
Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach—0
Explainable Recommendation: A Survey and New Perspectives—0
Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness—0
Exploring the Role of Argument Structure in Online Debate Persuasion—0
Generate Natural Language Explanations for Recommendation—0
Generating Persuasive Visual Storylines for Promotional Videos—0
G-FOCUS: Towards a Robust Method for Assessing UI Design Persuasiveness—0
Give Me More Feedback: Annotating Argument Persuasiveness and Related Attributes in Student Essays—0
Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation—0
How Metaphors Impact Political Discourse: A Large-Scale Topic-Agnostic Study Using Neural Metaphor Detection—0
Impact of Tone-Aware Explanations in Recommender Systems—0
Information Threshold, Bayesian Inference and Decision-Making—0
J-Recs: Principled and Scalable Recommendation Justification—0
Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts—0
Learning to Persuade on the Fly: Robustness Against Ignorance—0
Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms—0
Lightly-Supervised Modeling of Argument Persuasiveness—0
LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language—0
Machine Generated Product Advertisements: Benchmarking LLMs Against Human Performance—0
Markov Persuasion Processes: Learning to Persuade from Scratch—0
Measuring and Improving Persuasiveness of Large Language Models—0
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation—0
MemInsight: Autonomous Memory Augmentation for LLM Agents—0
Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages—0
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