Papers Headline Generation
“Headline Generation” 태그가 달린 논문 94편 · 필터 해제
COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation
Online ads are essential to all businesses and ad headlines are one of their core creative component. Existing methods can generate headlines automatically and also optimize their click-through-rate (CTR) and quality. Ho…
Headline GenerationAd Headline Generation using Self-Critical Masked Language Model
For any E-commerce website it is a nontrivial problem to build enduring advertisements that attract shoppers. It is hard to pass the creative quality bar of the website, especially at a large scale. We thus propose a pro…
Reinforcement LearningHeadline GenerationReinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax
Extending large language models (LLMs) to low-resource languages often incurs an "alignment tax": improvements in the target language come at the cost of catastrophic forgetting in general capabilities. We argue that thi…
Reinforcement LearningMachine TranslationHeadline GenerationPrahokBART: A Pre-trained Sequence-to-Sequence Model for Khmer Natural Language Generation
This work introduces {\it PrahokBART}, a compact pre-trained sequence-to-sequence model trained from scratch for Khmer using carefully curated Khmer and English corpora. We focus on improving the pre-training corpus qual…
Machine TranslationHeadline GenerationText SummarizationText GenerationCMHG: A Dataset and Benchmark for Headline Generation of Minority Languages in China
Minority languages in China, such as Tibetan, Uyghur, and Traditional Mongolian, face significant challenges due to their unique writing systems, which differ from international standards. This discrepancy has led to a s…
Headline GenerationBeyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models
The generation of ad headlines plays a vital role in modern advertising, where both quality and diversity are essential to engage a broad range of audience segments. Current approaches primarily optimize language models …
Reinforcement LearningHeadline GenerationImproved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback
Accurate personalized headline generation hinges on precisely capturing user interests from historical behaviors. However, existing methods neglect personalized-irrelevant click noise in entire historical clickstreams, w…
Headline GenerationCAP-LLM: Context-Augmented Personalized Large Language Models for News Headline Generation
In the era of information overload, personalized news headline generation is crucial for engaging users by tailoring content to their preferences while accurately conveying news facts. Existing methods struggle with effe…
Headline GenerationText GenerationPanoramic Interests: Stylistic-Content Aware Personalized Headline Generation
Personalized news headline generation aims to provide users with attention-grabbing headlines that are tailored to their preferences. Prevailing methods focus on user-oriented content preferences, but most of them overlo…
Contrastive LearningHeadline GenerationLanguage ModelingLanguage Modelling+1Fact-Preserved Personalized News Headline Generation
Personalized news headline generation, aiming at generating user-specific headlines based on readers' preferences, burgeons a recent flourishing research direction. Existing studies generally inject a user interest embed…
Contrastive LearningHeadline GenerationComMer: a Framework for Compressing and Merging User Data for Personalization
Large Language Models (LLMs) excel at a wide range of tasks, but adapting them to new data, particularly for personalized applications, poses significant challenges due to resource and computational constraints. Existing…
Headline GenerationBeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion
Automatic text summarization, particularly headline generation, remains a critical yet underexplored area for Bengali religious news. Existing approaches to headline generation typically rely solely on the article conten…
ArticlesHeadline GenerationText SummarizationAfriHG: News headline generation for African Languages
This paper introduces AfriHG -- a news headline generation dataset created by combining from XLSum and MasakhaNEWS datasets focusing on 16 languages widely spoken by Africa. We experimented with two seq2eq models (mT5-ba…
Headline GenerationAbstractive Summarization of Low resourced Nepali language using Multilingual Transformers
Automatic text summarization in Nepali language is an unexplored area in natural language processing (NLP). Although considerable research has been dedicated to extractive summarization, the area of abstractive summariza…
Abstractive Text SummarizationArticlesExtractive SummarizationHeadline Generation+2Creating Arabic LLM Prompts at Scale
The debut of chatGPT and BARD has popularized instruction following text generation using LLMs, where a user can interrogate an LLM using natural language requests and obtain natural language answers that matches their r…
Headline GenerationInstruction FollowingLanguage ModelingLanguage Modelling+4Multilingual Fine-Grained News Headline Hallucination Detection
The popularity of automated news headline generation has surged with advancements in pre-trained language models. However, these models often suffer from the ``hallucination'' problem, where the generated headline is not…
HallucinationHeadline GenerationIn-Context LearningXL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and Tags
Millions of news articles published online daily can overwhelm readers. Headlines and entity (topic) tags are essential for guiding readers to decide if the content is worth their time. While headline generation has been…
ArticlesHeadline GenerationRetrievalTAGWhy Would You Suggest That? Human Trust in Language Model Responses
The emergence of Large Language Models (LLMs) has revealed a growing need for human-AI collaboration, especially in creative decision-making scenarios where trust and reliance are paramount. Through human studies and mod…
Decision MakingHeadline GenerationLanguage ModelingLanguage ModellingOnline Personalizing White-box LLMs Generation with Neural Bandits
The advent of personalized content generation by LLMs presents a novel challenge: how to efficiently adapt text to meet individual preferences without the unsustainable demand of creating a unique model for each user. Th…
Headline GenerationText GenerationTeClass: A Human-Annotated Relevance-based Headline Classification and Generation Dataset for Telugu
News headline generation is a crucial task in increasing productivity for both the readers and producers of news. This task can easily be aided by automated News headline-generation models. However, the presence of irrel…
ArticlesHeadline Generation