Cover Image

Structured Prompt Optimization for Few-Shot Text Classification via Semantic Alignment in Latent Space

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Jiasen, Zhou, Zijun, Zhang, Huajun, Lin, Junjiang, Jia, Jingyun, Wang, Qi
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
by: Zheng, Jiasen, et al.
Published: (2025)

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
by: Wang, Yuxiang, et al.
Published: (2025)

PLHF: Prompt Optimization with Few-Shot Human Feedback
by: Yang, Chun-Pai, et al.
Published: (2025)

Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting
by: Wu, Jianfei, et al.
Published: (2024)

Integrating Structure-Aware Attention and Knowledge Graphs in Explainable Recommendation Systems
by: Lyu, Shuangquan, et al.
Published: (2025)

A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning
by: Gao, Jia, et al.
Published: (2025)

Active Few-Shot Learning for Text Classification
by: Ahmadnia, Saeed, et al.
Published: (2025)

Mask-guided BERT for Few Shot Text Classification
by: Liao, Wenxiong, et al.
Published: (2023)

LatentPrompt: Optimizing Promts in Latent Space
by: Bystroński, Mateusz, et al.
Published: (2025)

Few-Shot Query Intent Detection via Relation-Aware Prompt Learning
by: Zhang, Liang, et al.
Published: (2025)

Enhancing LLM-Based Text Classification in Political Science: Automatic Prompt Optimization and Dynamic Exemplar Selection for Few-Shot Learning
by: Liu, Menglin, et al.
Published: (2024)

Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
by: Wu, Zijun, et al.
Published: (2023)

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

Label-template based Few-Shot Text Classification with Contrastive Learning
by: Hou, Guanghua, et al.
Published: (2024)

Manual Verbalizer Enrichment for Few-Shot Text Classification
by: Nguyen, Quang Anh, et al.
Published: (2024)

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
by: Shi, Fobo, et al.
Published: (2023)

Latent Space Alignment for Semantic Channel Equalization
by: Hüttebräucker, Tomás, et al.
Published: (2024)

Multi-Level Correlation Network For Few-Shot Image Classification
by: Dang, Yunkai, et al.
Published: (2024)

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
by: Han, Xu, et al.
Published: (2025)

Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt
by: Gan, Chengguang, et al.
Published: (2024)

Making Text Embedders Few-Shot Learners
by: Li, Chaofan, et al.
Published: (2024)

Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models
by: Zheng, Hongye, et al.
Published: (2025)

Few-Shot Adversarial Prompt Learning on Vision-Language Models
by: Zhou, Yiwei, et al.
Published: (2024)

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
by: Fu, Lucheng, et al.
Published: (2026)

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
by: Liu, Xukai, et al.
Published: (2024)

RiOT: Efficient Prompt Refinement with Residual Optimization Tree
by: Zhou, Chenyi, et al.
Published: (2025)

Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations
by: Sultan, Md Arafat, et al.
Published: (2024)

Group Preference Optimization: Few-Shot Alignment of Large Language Models
by: Zhao, Siyan, et al.
Published: (2023)

Motion-Guided Semantic Alignment with Negative Prompts for Zero-Shot Video Action Recognition
by: Wang, Yiming, et al.
Published: (2026)

Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression
by: Adams, Jadie, et al.
Published: (2025)

Few-Shot and Training-Free Review Generation via Conversational Prompting
by: Kusano, Genki
Published: (2025)

AI Coding with Few-Shot Prompting for Thematic Analysis
by: Flanders, Samuel, et al.
Published: (2025)

Adapting Knowledge for Few-shot Table-to-Text Generation
by: Guo, Zhixin, et al.
Published: (2023)

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition
by: Ye, Junjie, et al.
Published: (2024)

CrossTune: Black-Box Few-Shot Classification with Label Enhancement
by: Luo, Danqing, et al.
Published: (2024)

Language Model Representations for Efficient Few-Shot Tabular Classification
by: Kang, Inwon, et al.
Published: (2026)

More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
by: Yao, Bingsheng, et al.
Published: (2023)

Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek Generated Text
by: Alshammari, Hulayyil, et al.
Published: (2025)

Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer
by: Gao, Jia, et al.
Published: (2025)

Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition
by: Pouramini, Ahmad, et al.
Published: (2024)