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Persuasiveness
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/GT-SALT/Persuasive-Orderings
공식 코드Examining the Ordering of Rhetorical Strategies in Persuasive Requests
https://github.com/HKUST-KnowComp/PersonaPrompt
공식 코드Persona Knowledge-Aligned Prompt Tuning Method for Online Debate
https://github.com/Jometeorie/KnowledgeSpread
공식 코드Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities
https://github.com/WangXin93/fashion_compatibility_mcn
공식 코드Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network
https://github.com/aysanaghazadeh/CAP
공식 코드https://github.com/beyzabozdag/PersuasionSurvey
공식 코드https://github.com/crowddynamicslab/styleinfusion
공식 코드Audience-Centric Natural Language Generation via Style Infusion
https://github.com/dsridhar91/debate-causal-effects
공식 코드https://github.com/i-gallegos/ai-authorship-persuasion
공식 코드Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects
https://github.com/iamtonymwt/echo_chamber
공식 코드https://github.com/jaspertimm/llmpersuasion
공식 코드Tailored Truths: Optimizing LLM Persuasion with Personalization and Fabricated Statistics
https://github.com/kobihackenburg/scaling-llm-persuasion
공식 코드Evidence of a log scaling law for political persuasion with large language models
https://github.com/lyxzzz/PWSConv
공식 코드https://github.com/marcoguerini/paired_datasets_for_persuasion
공식 코드Echoes of Persuasion: The Effect of Euphony in Persuasive Communication
https://github.com/meiqiguo/argmining2022-imagearg
공식 코드ImageArg: A Multi-modal Tweet Dataset for Image Persuasiveness Mining
https://github.com/mobs-fbk/llm_interaction_simulator
공식 코드https://github.com/mollyshuu/rezg
공식 코드ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate Speech
https://github.com/salt-nlp/llms_for_css
공식 코드Can Large Language Models Transform Computational Social Science?
https://github.com/social-ai-studio/gpt3-hateeval
공식 코드Evaluating GPT-3 Generated Explanations for Hateful Content Moderation
https://github.com/sunblaze-ucb/political_leaning_RepE
공식 코드Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters
https://github.com/ucl-dark/llm_debate
공식 코드Debating with More Persuasive LLMs Leads to More Truthful Answers
https://github.com/zhichaoxu-shufe/semantic-enhanced-bper
공식 코드https://github.com/imagearg/imagearg-shared-task
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining
https://github.com/llm-council/llm-council
Language Model Council: Democratically Benchmarking Foundation Models on Highly Subjective Tasks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.