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Persuasiveness

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TitleStatusHype
PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights—0
Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters—0
Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach—0
Communication Styles and Reader Preferences of LLM and Human Experts in Explaining Health Information—0
Must Read: A Systematic Survey of Computational PersuasionCode1
G-FOCUS: Towards a Robust Method for Assessing UI Design Persuasiveness—0
Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts—0
A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies—0
Labeling Messages as AI-Generated Does Not Reduce Their Persuasive EffectsCode0
MemInsight: Autonomous Memory Augmentation for LLM Agents—0
Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models—0
Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages—0
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated StatisticsCode0
LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language—0
Machine Generated Product Advertisements: Benchmarking LLMs Against Human Performance—0
CAP: Evaluation of Persuasive and Creative Image GenerationCode0
Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation—0
Persuasion with Large Language Models: a Survey—0
Hidden Persuaders: LLMs' Political Leaning and Their Influence on VotersCode0
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation—0
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments—0
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 Models—0
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 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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