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Persuasiveness
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters
Ethics and Persuasion in Reinforcement Learning from Human Feedback: A Procedural Rhetorical Approach
Communication Styles and Reader Preferences of LLM and Human Experts in Explaining Health Information
Must Read: A Systematic Survey of Computational Persuasion
G-FOCUS: Towards a Robust Method for Assessing UI Design Persuasiveness
Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts
A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies
Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects
MemInsight: Autonomous Memory Augmentation for LLM Agents
Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models
Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics
LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language
Machine Generated Product Advertisements: Benchmarking LLMs Against Human Performance
Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation
CAP: Evaluation of Persuasive and Creative Image Generation
Persuasion with Large Language Models: a Survey
Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy
Persona Knowledge-Aligned Prompt Tuning Method for Online Debate
Measuring and Improving Persuasiveness of Large Language Models
LLM Echo Chamber: personalized and automated disinformation
Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation
Review-LLM: Harnessing Large Language Models for Personalized Review Generation
Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking
Evidence of a log scaling law for political persuasion with large language models
Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study
Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective Tasks
Impact of Tone-Aware Explanations in Recommender Systems
Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception
"Reasoning" with Rhetoric: On the Style-Evidence Tradeoff in LLM-Generated Counter-Arguments
Debating with More Persuasive LLMs Leads to More Truthful Answers
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