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Persuasiveness

Papers

Showing 26–50 of 97 papers

TitleStatusHype
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation—0
Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent CommunitiesCode1
Review-LLM: Harnessing Large Language Models for Personalized Review Generation—0
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument RankingCode0
Evidence of a log scaling law for political persuasion with large language modelsCode0
Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study—0
Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective TasksCode3
Impact of Tone-Aware Explanations in Recommender Systems—0
Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception—0
"Reasoning" with Rhetoric: On the Style-Evidence Tradeoff in LLM-Generated Counter-Arguments—0
Debating with More Persuasive LLMs Leads to More Truthful AnswersCode2
Markov Persuasion Processes: Learning to Persuade from Scratch—0
The Persuasive Power of Large Language Models—0
The Adoption and Efficacy of Large Language Models: Evidence From Consumer Complaints in the Financial Industry—0
Can Offline Metrics Measure Explanation Goals? A Comparative Survey Analysis of Offline Explanation Metrics in Recommender Systems—0
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument MiningCode0
ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate SpeechCode0
Normative Conditional Reasoning as a Fragment of HOL—0
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant—0
Evaluating GPT-3 Generated Explanations for Hateful Content ModerationCode0
VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping—0
Can Large Language Models Transform Computational Social Science?Code1
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation—0
Audience-Centric Natural Language Generation via Style InfusionCode0
PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity DonationCode0
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