Papers News Generation
“News Generation” 태그가 달린 논문 29편 · 필터 해제
Synthetic News Generation for Fake News Classification
This study explores the generation and evaluation of synthetic fake news through fact based manipulations using large language models (LLMs). We introduce a novel methodology that extracts key facts from real articles, m…
ArticlesClassificationFact VerificationFake News Detection+3AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models
The rise of various social platforms has transformed journalism. The growing demand for news content has led to the increased use of large language models (LLMs) in news production due to their speed and cost-effectivene…
News GenerationRetrievalRetrieval-augmented GenerationLLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
Explainable fake news detection predicts the authenticity of news items with annotated explanations. Today, Large Language Models (LLMs) are known for their powerful natural language understanding and explanation generat…
Explanation GenerationFake News DetectionGenerative Adversarial NetworkNatural Language Understanding+1Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian
In the era dominated by information overload and its facilitation with Large Language Models (LLMs), the prevalence of misinformation poses a significant threat to public discourse and societal well-being. A critical con…
MisinformationNews GenerationRICo: Reddit ideological communities
The main objective of our research is to gain a comprehensive understanding of the relationship between language usage within different communities and delineating the ideological narratives. We focus specifically on uti…
ArticlesNews ClassificationNews GenerationNews Recommendation+3A System for Automatic English Text Expansion
We present an automatic text expansion system to generate English sentences, which performs automatic Natural Language Generation (NLG) by combining linguistic rules with statistical approaches. Here, "automatic" means t…
News GenerationText GenerationReMoDetect: Reward Models Recognize Aligned LLM's Generations
The remarkable capabilities and easy accessibility of large language models (LLMs) have significantly increased societal risks (e.g., fake news generation), necessitating the development of LLM-generated text (LGT) detec…
News GenerationAutomatic News Generation and Fact-Checking System Based on Language Processing
This paper explores an automatic news generation and fact-checking system based on language processing, aimed at enhancing the efficiency and quality of news production while ensuring the authenticity and reliability of …
ArticlesFact CheckingKnowledge GraphsNews Generation+1Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
With the improvements in generative models, the issues of producing hallucinations in various domains (e.g., law, writing) have been brought to people's attention due to concerns about misinformation. In this paper, we f…
Fake News DetectionMisinformationNews GenerationA Simple yet Efficient Ensemble Approach for AI-generated Text Detection
Recent Large Language Models (LLMs) have demonstrated remarkable capabilities in generating text that closely resembles human writing across wide range of styles and genres. However, such capabilities are prone to potent…
Language ModellingLarge Language ModelNews Generationtext-classification+3FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
The rampant spread of fake news has adversely affected society, resulting in extensive research on curbing its spread. As a notable milestone in large language models (LLMs), ChatGPT has gained significant attention due …
News GenerationThresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation
Fine-grained, span-level human evaluation has emerged as a reliable and robust method for evaluating text generation tasks such as summarization, simplification, machine translation and news generation, and the derived a…
Machine TranslationMulti-Task LearningNews GenerationText GenerationZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles
Automatically generating textual content with desired attributes is an ambitious task that people have pursued long. Existing works have made a series of progress in incorporating unimodal controls into language models (…
News GenerationSentenceText GenerationONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Personalized content-based recommender systems have become indispensable tools for users to navigate through the vast amount of content available on platforms like daily news websites and book recommendation services. Ho…
NavigateNews GenerationNews RecommendationNews Summarization+1LongForm: Effective Instruction Tuning with Reverse Instructions
Instruction tuning enables language models to more effectively generalize and better follow user intent. However, obtaining instruction data is costly and challenging. Prior work employs methods such as expensive human a…
Long Form Question AnsweringNews GenerationQuestion AnsweringRecipe Generation+1Predictive linguistic cues for fake news: a societal artificial intelligence problem
Media news are making a large part of public opinion and, therefore, must not be fake. News on web sites, blogs, and social media must be analyzed before being published. In this paper, we present linguistic characterist…
AttributeImage CaptioningNews GenerationFaking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
Despite recent advances in detecting fake news generated by neural models, their results are not readily applicable to effective detection of human-written disinformation. What limits the successful transfer between them…
ArticlesFake News DetectionNatural Language InferenceNews GenerationShow, Write, and Retrieve: Entity-aware Article Generation and Retrieval
Article comprehension is an important challenge in natural language processing with many applications such as article generation or image-to-article retrieval. Prior work typically encodes all tokens in articles uniforml…
ArticlesNews GenerationRetrievalText GenerationWhen a Computer Cracks a Joke: Automated Generation of Humorous Headlines
Automated news generation has become a major interest for new agencies in the past. Oftentimes headlines for such automatically generated news articles are unimaginative as they have been generated with ready-made templa…
ArticlesHeadline GenerationNews GenerationUni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
News recommendation is important for personalized online news services. Most existing news recommendation methods rely on centrally stored user behavior data to both train models offline and provide online recommendation…
News GenerationNews RecommendationPrivacy PreservingRecommendation Systems