Imagen de Portada

BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bai, Yinhao, Xie, Yalan, Liu, Xiaoyi, Zhao, Yuhua, Han, Zhixin, Hu, Mengting, Gao, Hang, Cheng, Renhong
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Generate Then Correct: Single Shot Global Correction for Aspect Sentiment Quad Prediction
por: He, Shidong, et al.
Publicado: (2026)

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction
por: Zhang, Wenyuan, et al.
Publicado: (2024)

STAR: Stepwise Task Augmentation with Relation Learning for Aspect Sentiment Quad Prediction
por: Lai, Wenna, et al.
Publicado: (2025)

Listwise Preference Optimization with Element-wise Confusions for Aspect Sentiment Quad Prediction
por: Lai, Wenna, et al.
Publicado: (2025)

Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion
por: Ying, Rui, et al.
Publicado: (2024)

Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction
por: Zhang, Yice, et al.
Publicado: (2024)

Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
por: Hellwig, Nils Constantin, et al.
Publicado: (2025)

$\mathcal{S}^2$IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction
por: Chen, Bingfeng, et al.
Publicado: (2026)

Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy
por: Kim, Jieyong, et al.
Publicado: (2024)

Prompting Is All You Need: Multi-view Prompting Large Language Models for Aspect-Based Sentiment Analysis
por: Hellwig, Nils Constantin, et al.
Publicado: (2026)

LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty
por: Zhang, Zhen, et al.
Publicado: (2024)

Heuristic-enhanced Candidates Selection strategy for GPTs tackle Few-Shot Aspect-Based Sentiment Analysis
por: Jiang, Baoxing, et al.
Publicado: (2024)

Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
por: Zhang, Zhenyu, et al.
Publicado: (2025)

PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
por: Xiang, Hui, et al.
Publicado: (2025)

Aspect-Based Few-Shot Learning
por: van Engeland, Tim, et al.
Publicado: (2024)

Structured Prompting and LLM Ensembling for Multimodal Conversational Aspect-based Sentiment Analysis
por: Gao, Zhiqiang, et al.
Publicado: (2025)

DS$^2$-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis
por: Xu, Hongling, et al.
Publicado: (2024)

E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction
por: Mohammadkhani, Mohammad Ghiasvand, et al.
Publicado: (2024)

Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
por: Guan, ChaoFeng, et al.
Publicado: (2024)

Random Registers for Cross-Domain Few-Shot Learning
por: Yi, Shuai, et al.
Publicado: (2025)

Compositional Few-Shot Class-Incremental Learning
por: Zou, Yixiong, et al.
Publicado: (2024)

Co-optimization for Adaptive Conformal Prediction
por: Su, Xiaoyi, et al.
Publicado: (2026)

Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis
por: Hasan, Md. Arid, et al.
Publicado: (2023)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
por: Zeng, Fanhu, et al.
Publicado: (2024)

PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning
por: Tian, Songsong, et al.
Publicado: (2024)

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
por: Bai, Yichen, et al.
Publicado: (2023)

Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
por: Tong, Jintao, et al.
Publicado: (2024)

The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
por: Liu, Yuhan, et al.
Publicado: (2025)

QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis
por: de Vink, A. J. W., et al.
Publicado: (2026)

Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
por: Tao, Fenfang, et al.
Publicado: (2024)

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
por: Li, Xiaofan, et al.
Publicado: (2024)

Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models
por: Tash, Moein Shahiki, et al.
Publicado: (2024)

Few-shot Cross-lingual Aspect-Based Sentiment Analysis with Sequence-to-Sequence Models
por: Šmíd, Jakub, et al.
Publicado: (2025)

Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection
por: Jiang, Yongwei, et al.
Publicado: (2026)

Generalizable Vision-Language Few-Shot Adaptation with Predictive Prompts and Negative Learning
por: Mandalika, Sriram
Publicado: (2025)

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

The QuadSoft: Design, Construction, and Experimental Validation of a Soft and Actuated Quadrotor
por: Verdin, Rodolfo, et al.
Publicado: (2026)

Class-Incremental Few-Shot Event Detection
por: Zhao, Kailin, et al.
Publicado: (2024)

Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
por: Tong, Jintao, et al.
Publicado: (2025)

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning
por: Yi, Shuai, et al.
Publicado: (2026)