Papers with Code 아카이브
News Generation
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Generation of larger segments of text with consistent topic and evolving story.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian
A System for Automatic English Text Expansion
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
Automatic News Generation and Fact-Checking System Based on Language Processing
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
A Simple yet Efficient Ensemble Approach for AI-generated Text Detection
FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation
ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
LongForm: Effective Instruction Tuning with Reverse Instructions
Predictive linguistic cues for fake news: a societal artificial intelligence problem
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval
When a Computer Cracks a Joke: Automated Generation of Humorous Headlines
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
AraGPT2: Pre-Trained Transformer for Arabic Language Generation
Fact-Enhanced Synthetic News Generation
Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach
Xiaomingbot: A Multilingual Robot News Reporter
Template-free Data-to-Text Generation of Finnish Sports News
The Myths of Our Time: Fake News
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