Cover Image

Generating Synthetic Datasets for Few-shot Prompt Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Xu, Du, Zilin, Li, Boyang, Miao, Chunyan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Few-shot LLM Synthetic Data with Distribution Matching
by: Ren, Jiyuan, et al.
Published: (2025)

Few-shot Name Entity Recognition on StackOverflow
by: Chen, Xinwei, et al.
Published: (2024)

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
by: Cheng, Xiang, et al.
Published: (2025)

SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
by: Solano, Jesus, et al.
Published: (2023)

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

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
by: Tang, Lei, et al.
Published: (2025)

Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
by: Yang, Yu, et al.
Published: (2024)

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
by: Li, Jiangmeng, et al.
Published: (2024)

Explainable Few-shot Knowledge Tracing
by: Li, Haoxuan, et al.
Published: (2024)

Lost-in-the-Middle in Long-Text Generation: Synthetic Dataset, Evaluation Framework, and Mitigation
by: Zhang, Junhao, et al.
Published: (2025)

Preserving Generalization of Language models in Few-shot Continual Relation Extraction
by: Tran, Quyen, et al.
Published: (2024)

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

Intent-driven In-context Learning for Few-shot Dialogue State Tracking
by: Yi, Zihao, et al.
Published: (2024)

M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
by: Wang, Taowen, et al.
Published: (2024)

Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
by: Lan, Pengxiang, et al.
Published: (2025)

Synthetic Dialogue Dataset Generation using LLM Agents
by: Abdullin, Yelaman, et al.
Published: (2024)

OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment
by: Xie, Xiangjin, et al.
Published: (2025)

LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification
by: Du, Zhicheng, et al.
Published: (2024)

On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension
by: Leite, Bernardo, et al.
Published: (2024)

APrompt4EM: Augmented Prompt Tuning for Generalized Entity Matching
by: Xia, Yikuan, et al.
Published: (2024)

Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection
by: Latouche, Gaetan Lopez, et al.
Published: (2024)

Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking
by: Pisarevskaya, Dina, et al.
Published: (2025)

Few-shot Policy (de)composition in Conversational Question Answering
by: Erwin, Kyle, et al.
Published: (2025)

CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction
by: Duan, Jiaxin, et al.
Published: (2025)

Effectiveness of Zero-shot-CoT in Japanese Prompts
by: Takayama, Shusuke, et al.
Published: (2025)

Measuring Diversity in Synthetic Datasets
by: Zhu, Yuchang, et al.
Published: (2025)

Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability
by: Sawhney, Riya, et al.
Published: (2024)

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
by: Choi, Juhwan, et al.
Published: (2024)

Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning
by: Philippy, Fred, et al.
Published: (2025)

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition
by: Tian, Chang, et al.
Published: (2024)

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

Test-time Scaling of LLMs: A Survey from A Subproblem Structure Perspective
by: Yang, Zhuoyi, et al.
Published: (2025)

Black-box Prompt Tuning with Subspace Learning
by: Zheng, Yuanhang, et al.
Published: (2023)

TALEC: Teach Your LLM to Evaluate in Specific Domain with In-house Criteria by Criteria Division and Zero-shot Plus Few-shot
by: Zhang, Kaiqi, et al.
Published: (2024)

Cross-lingual Few-shot Learning for Persian Sentiment Analysis with Incremental Adaptation
by: Majidi, Farideh, et al.
Published: (2025)

Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning
by: Haseyama, Yuna, et al.
Published: (2026)

Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA
by: Li, Miaoyu, et al.
Published: (2024)

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
by: Chen, Zihong, et al.
Published: (2025)

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

Dynaword: From One-shot to Continuously Developed Datasets
by: Enevoldsen, Kenneth, et al.
Published: (2025)