Image de couverture de livre

Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kuila, Alapan, Sarkar, Sudeshna
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

Analyzing Sentiment Polarity Reduction in News Presentation through Contextual Perturbation and Large Language Models
par: Kuila, Alapan, et autres
Publié: (2024)

From Text to Context: An Entailment Approach for News Stakeholder Classification
par: Kuila, Alapan, et autres
Publié: (2024)

Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
par: Maity, Subhankar, et autres
Publié: (2025)

Large Language Models for Few-Shot Named Entity Recognition
par: Zhao, Yufei, et autres
Publié: (2018)

llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models
par: Villena, Fabián, et autres
Publié: (2024)

Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
par: Xie, Tingyu, et autres
Publié: (2023)

Benchmarking Open-Source Large Language Models for Persian in Zero-Shot and Few-Shot Learning
par: Cherakhloo, Mahdi, et autres
Publié: (2025)

Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models
par: Wu, Chengyan, et autres
Publié: (2024)

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition
par: Ye, Junjie, et autres
Publié: (2024)

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
par: Lin, Yujie, et autres
Publié: (2026)

Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition
par: Golde, Jonas, et autres
Publié: (2024)

In-Context Learning for Few-Shot Nested Named Entity Recognition
par: Zhang, Meishan, et autres
Publié: (2024)

CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition
par: Zhang, Yafeng, et autres
Publié: (2024)

Zero-Shot Open-Schema Entity Structure Discovery
par: Xu, Xueqiang, et autres
Publié: (2025)

Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
par: Fane, Enfa, et autres
Publié: (2025)

Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models
par: Tash, Moein Shahiki, et autres
Publié: (2024)

Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications
par: Maity, Subhankar, et autres
Publié: (2024)

Prompt Tuning for Few-Shot Continual Learning Named Entity Recognition
par: Ren, Zhe
Publié: (2025)

Zero-Shot to Full-Resource: Cross-lingual Transfer Strategies for Aspect-Based Sentiment Analysis
par: Fehle, Jakob, et autres
Publié: (2026)

Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models
par: Zheng, Hongye, et autres
Publié: (2025)

Language Models are Few-Shot Graders
par: Zhao, Chenyan, et autres
Publié: (2025)

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
par: Li, Guozheng, et autres
Publié: (2024)

Efficient Large Language Models with Zero-Shot Adjustable Acceleration
par: Kachuee, Sajjad, et autres
Publié: (2025)

Large Language Models for Zero-Shot Multicultural Name Recognition
par: Phonchai, Thanakorn, et autres
Publié: (2025)

How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?
par: Maity, Subhankar, et autres
Publié: (2024)

AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model
par: Zhang, Zeyu, et autres
Publié: (2024)

Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER)
par: Lopez-Duran, Miguel, et autres
Publié: (2026)

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
par: Liu, Xukai, et autres
Publié: (2024)

Refactoring Programs Using Large Language Models with Few-Shot Examples
par: Shirafuji, Atsushi, et autres
Publié: (2023)

Document-Level Zero-Shot Relation Extraction with Entity Side Information
par: Chanthran, Mohan Raj, et autres
Publié: (2026)

Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
par: He, Kang, et autres
Publié: (2024)

LLMs on Drugs: Language Models Are Few-Shot Consumers
par: Doudkin, Alexander
Publié: (2025)

Zero-Shot ATC Coding with Large Language Models for Clinical Assessments
par: Chen, Zijian, et autres
Publié: (2024)

Few-Shot Recalibration of Language Models
par: Li, Xiang Lisa, et autres
Publié: (2024)

Description Boosting for Zero-Shot Entity and Relation Classification
par: Picco, Gabriele, et autres
Publié: (2024)

Large Language Models are Zero-Shot Next Location Predictors
par: Beneduce, Ciro, et autres
Publié: (2024)

Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
par: Averly, Reza, et autres
Publié: (2024)

Large Language Models are Zero-Shot Rankers for Recommender Systems
par: Hou, Yupeng, et autres
Publié: (2023)

ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models
par: Wang, Anbang, et autres
Publié: (2024)

Zero-Shot Strategies for Length-Controllable Summarization
par: Retkowski, Fabian, et autres
Publié: (2024)