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Persuasiveness

Papers

Showing 2650 of 97 papers

TitleStatusHype
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments0
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social HierarchyCode0
Persona Knowledge-Aligned Prompt Tuning Method for Online DebateCode0
Measuring and Improving Persuasiveness of Large Language Models0
LLM Echo Chamber: personalized and automated disinformationCode0
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation0
Review-LLM: Harnessing Large Language Models for Personalized Review Generation0
Evidence of a log scaling law for political persuasion with large language modelsCode0
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument RankingCode0
Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study0
Impact of Tone-Aware Explanations in Recommender Systems0
Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception0
"Reasoning" with Rhetoric: On the Style-Evidence Tradeoff in LLM-Generated Counter-Arguments0
Markov Persuasion Processes: Learning to Persuade from Scratch0
The Persuasive Power of Large Language Models0
The Adoption and Efficacy of Large Language Models: Evidence From Consumer Complaints in the Financial Industry0
Can Offline Metrics Measure Explanation Goals? A Comparative Survey Analysis of Offline Explanation Metrics in Recommender Systems0
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 HOL0
Automated Essay Scoring in Argumentative Writing: DeBERTeachingAssistant0
Evaluating GPT-3 Generated Explanations for Hateful Content ModerationCode0
VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping0
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation0
Audience-Centric Natural Language Generation via Style InfusionCode0
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