SOTAVerified

Persuasiveness

Papers

Showing 1–50 of 97 papers

TitleStatusHype
Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective TasksCode3
Debating with More Persuasive LLMs Leads to More Truthful AnswersCode2
Can Large Language Models Transform Computational Social Science?Code1
Examining the Ordering of Rhetorical Strategies in Persuasive RequestsCode1
Must Read: A Systematic Survey of Computational PersuasionCode1
Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent CommunitiesCode1
CAP: Evaluation of Persuasive and Creative Image GenerationCode0
Labeling Messages as AI-Generated Does Not Reduce Their Persuasive EffectsCode0
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument RankingCode0
Audience-Centric Natural Language Generation via Style InfusionCode0
Learning to Rank Rationales for Explainable RecommendationCode0
ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate SpeechCode0
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network CollapseCode0
LLM Echo Chamber: personalized and automated disinformationCode0
Estimating Causal Effects of Tone in Online DebatesCode0
Hidden Persuaders: LLMs' Political Leaning and Their Influence on VotersCode0
Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated StatisticsCode0
Evaluating GPT-3 Generated Explanations for Hateful Content ModerationCode0
Evidence of a log scaling law for political persuasion with large language modelsCode0
ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness MiningCode0
Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative WritingCode0
Echoes of Persuasion: The Effect of Euphony in Persuasive CommunicationCode0
Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention ModelCode0
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social HierarchyCode0
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison NetworkCode0
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument MiningCode0
PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity DonationCode0
Persona Knowledge-Aligned Prompt Tuning Method for Online DebateCode0
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
Neural-based RST Parsing And Analysis In Persuasive Discourse—0
Normative Conditional Reasoning as a Fragment of HOL—0
Can Offline Metrics Measure Explanation Goals? A Comparative Survey Analysis of Offline Explanation Metrics in Recommender Systems—0
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