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Persuasiveness

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Showing 51–97 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
Estimating Causal Effects of Tone in Online DebatesCode0
Labeling Messages as AI-Generated Does Not Reduce Their Persuasive EffectsCode0
Evaluating GPT-3 Generated Explanations for Hateful Content ModerationCode0
Evidence of a log scaling law for political persuasion with large language modelsCode0
Echoes of Persuasion: The Effect of Euphony in Persuasive CommunicationCode0
CAP: Evaluation of Persuasive and Creative Image GenerationCode0
PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity DonationCode0
Persona Knowledge-Aligned Prompt Tuning Method for Online DebateCode0
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network CollapseCode0
Learning to Rank Rationales for Explainable RecommendationCode0
Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative WritingCode0
Audience-Centric Natural Language Generation via Style InfusionCode0
LLM Echo Chamber: personalized and automated disinformationCode0
Hidden Persuaders: LLMs' Political Leaning and Their Influence on VotersCode0
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument RankingCode0
ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate SpeechCode0
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness MiningCode0
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated StatisticsCode0
Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention ModelCode0
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison NetworkCode0
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social HierarchyCode0
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument MiningCode0
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