Image de couverture de livre

Prompt-tuning for Clickbait Detection via Text Summarization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Deng, Haoxiang, Zhu, Yi, Wang, Ye, Qiang, Jipeng, Yuan, Yunhao, Li, Yun, Zhang, Runmei
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Clickbait Detection via Large Language Models
par: Wang, Han, et autres
Publié: (2023)

Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning
par: Zhang, Chaowei, et autres
Publié: (2026)

Progressive Document-level Text Simplification via Large Language Models
par: Fang, Dengzhao, et autres
Publié: (2025)

New Evaluation Paradigm for Lexical Simplification
par: Qiang, Jipeng, et autres
Publié: (2025)

Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
par: Qiang, Jipeng, et autres
Publié: (2025)

NoticIA: A Clickbait Article Summarization Dataset in Spanish
par: García-Ferrero, Iker, et autres
Publié: (2024)

Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization
par: Sun, Shichao, et autres
Publié: (2024)

An Interpretable Benchmark for Clickbait Detection and Tactic Attribution
par: Nofar, Lihi, et autres
Publié: (2025)

What Makes You CLIC: Detection of Croatian Clickbait Headlines
par: Anđelić, Marija, et autres
Publié: (2025)

ClickGuard: A Trustworthy Adaptive Fusion Framework for Clickbait Detection
par: Dhiman, Chhavi, et autres
Publié: (2026)

Clickbait detection: quick inference with maximum impact
par: Kuntur, Soveatin, et autres
Publié: (2026)

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
par: Zhang, Chaowei, et autres
Publié: (2025)

ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework
par: Deng, Xiaoyu, et autres
Publié: (2025)

Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing
par: Ye, Chunyu, et autres
Publié: (2025)

Click it or Leave it: Detecting and Spoiling Clickbait with Informativeness Measures and Large Language Models
par: Michaluk, Wojciech, et autres
Publié: (2026)

SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration
par: Cen, Jipeng, et autres
Publié: (2024)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning
par: Xie, Kaige, et autres
Publié: (2023)

RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules
par: Li, Miaomiao, et autres
Publié: (2024)

Emotion-Aware Clickbait Attack in Social Media
par: Hasan, Syed Mhamudul, et autres
Publié: (2026)

PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification
par: Xie, Tianfang, et autres
Publié: (2024)

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization
par: Balde, Gunjan, et autres
Publié: (2024)

How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning
par: Rehman, Tohida, et autres
Publié: (2025)

Te Ahorré Un Click: A Revised Definition of Clickbait and Detection in Spanish News
par: Mordecki, Gabriel, et autres
Publié: (2025)

AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration
par: Huang, Minjiang, et autres
Publié: (2025)

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching
par: Qi, Zhenting, et autres
Publié: (2023)

FACTS: Table Summarization via Offline Template Generation with Agentic Workflows
par: Yuan, Ye, et autres
Publié: (2025)

Mitigating Clickbait: An Approach to Spoiler Generation Using Multitask Learning
par: Pal, Sayantan, et autres
Publié: (2024)

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
par: Liu, Zequan, et autres
Publié: (2025)

DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization
par: Yuan, Haohan, et autres
Publié: (2024)

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL
par: Yang, Haolin, et autres
Publié: (2025)

Vec2Summ: Text Summarization via Probabilistic Sentence Embeddings
par: Li, Mao, et autres
Publié: (2025)

SPADE: Structured Prompting Augmentation for Dialogue Enhancement in Machine-Generated Text Detection
par: Li, Haoyi, et autres
Publié: (2025)

Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning
par: Roth, Benedikt, et autres
Publié: (2025)

Multi-Query Focused Disaster Summarization via Instruction-Based Prompting
par: Seeberger, Philipp, et autres
Publié: (2024)

Multi-LLM Text Summarization
par: Fang, Jiangnan, et autres
Publié: (2024)

AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference
par: Han, Yang, et autres
Publié: (2024)

Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting
par: Zhu, Dong-Hai, et autres
Publié: (2025)

Flexible and Adaptable Summarization via Expertise Separation
par: Chen, Xiuying, et autres
Publié: (2024)

Iterative Prompt Refinement for Dyslexia-Friendly Text Summarization Using GPT-4o
par: Bhojwani, Samay, et autres
Publié: (2026)

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
par: Aly, Walid Mohamed, et autres
Publié: (2025)