:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Deng, Haoxiang, Zhu, Yi, Wang, Ye, Qiang, Jipeng, Yuan, Yunhao, Li, Yun, Zhang, Runmei
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	https://arxiv.org/abs/2404.11206
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Clickbait Detection via Large Language Models
di: Wang, Han, et al.
Pubblicazione: (2023)

Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning
di: Zhang, Chaowei, et al.
Pubblicazione: (2026)

Progressive Document-level Text Simplification via Large Language Models
di: Fang, Dengzhao, et al.
Pubblicazione: (2025)

New Evaluation Paradigm for Lexical Simplification
di: Qiang, Jipeng, et al.
Pubblicazione: (2025)

Redefining Simplicity: Benchmarking Large Language Models from Lexical to Document Simplification
di: Qiang, Jipeng, et al.
Pubblicazione: (2025)

NoticIA: A Clickbait Article Summarization Dataset in Spanish
di: García-Ferrero, Iker, et al.
Pubblicazione: (2024)

Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization
di: Sun, Shichao, et al.
Pubblicazione: (2024)

An Interpretable Benchmark for Clickbait Detection and Tactic Attribution
di: Nofar, Lihi, et al.
Pubblicazione: (2025)

What Makes You CLIC: Detection of Croatian Clickbait Headlines
di: Anđelić, Marija, et al.
Pubblicazione: (2025)

ClickGuard: A Trustworthy Adaptive Fusion Framework for Clickbait Detection
di: Dhiman, Chhavi, et al.
Pubblicazione: (2026)

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
di: Zhang, Chaowei, et al.
Pubblicazione: (2025)

Clickbait detection: quick inference with maximum impact
di: Kuntur, Soveatin, et al.
Pubblicazione: (2026)

ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework
di: Deng, Xiaoyu, et al.
Pubblicazione: (2025)

Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing
di: Ye, Chunyu, et al.
Pubblicazione: (2025)

Click it or Leave it: Detecting and Spoiling Clickbait with Informativeness Measures and Large Language Models
di: Michaluk, Wojciech, et al.
Pubblicazione: (2026)

SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent Collaboration
di: Cen, Jipeng, et al.
Pubblicazione: (2024)

Emotion-Aware Clickbait Attack in Social Media
di: Hasan, Syed Mhamudul, et al.
Pubblicazione: (2026)

AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration
di: Huang, Minjiang, et al.
Pubblicazione: (2025)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning
di: Xie, Kaige, et al.
Pubblicazione: (2023)

RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules
di: Li, Miaomiao, et al.
Pubblicazione: (2024)

PEDRO: Parameter-Efficient Fine-tuning with Prompt DEpenDent Representation MOdification
di: Xie, Tianfang, et al.
Pubblicazione: (2024)

Te Ahorré Un Click: A Revised Definition of Clickbait and Detection in Spanish News
di: Mordecki, Gabriel, et al.
Pubblicazione: (2025)

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization
di: Balde, Gunjan, et al.
Pubblicazione: (2024)

How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning
di: Rehman, Tohida, et al.
Pubblicazione: (2025)

Mitigating Clickbait: An Approach to Spoiler Generation Using Multitask Learning
di: Pal, Sayantan, et al.
Pubblicazione: (2024)

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL
di: Yang, Haolin, et al.
Pubblicazione: (2025)

FACTS: Table Summarization via Offline Template Generation with Agentic Workflows
di: Yuan, Ye, et al.
Pubblicazione: (2025)

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching
di: Qi, Zhenting, et al.
Pubblicazione: (2023)

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
di: Liu, Zequan, et al.
Pubblicazione: (2025)

DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization
di: Yuan, Haohan, et al.
Pubblicazione: (2024)

Vec2Summ: Text Summarization via Probabilistic Sentence Embeddings
di: Li, Mao, et al.
Pubblicazione: (2025)

Chinese Morph Resolution in E-commerce Live Streaming Scenarios
di: Zhu, Jiahao, et al.
Pubblicazione: (2025)

SPADE: Structured Prompting Augmentation for Dialogue Enhancement in Machine-Generated Text Detection
di: Li, Haoyi, et al.
Pubblicazione: (2025)

Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning
di: Roth, Benedikt, et al.
Pubblicazione: (2025)

Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models
di: Song, Jongyoon, et al.
Pubblicazione: (2024)

Multi-LLM Text Summarization
di: Fang, Jiangnan, et al.
Pubblicazione: (2024)

Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting
di: Zhu, Dong-Hai, et al.
Pubblicazione: (2025)

Multi-Query Focused Disaster Summarization via Instruction-Based Prompting
di: Seeberger, Philipp, et al.
Pubblicazione: (2024)

AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference
di: Han, Yang, et al.
Pubblicazione: (2024)

Slang Context-based Inference Enhancement via Greedy Search-Guided Chain-of-Thought Prompting
di: Cao, Jinghan, et al.
Pubblicazione: (2026)