Cover Image

Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sato, Soma, Tsukagoshi, Hayato, Sasano, Ryohei, Takeda, Koichi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sentence Representations via Gaussian Embedding
by: Yoda, Shohei, et al.
Published: (2023)

Ruri: Japanese General Text Embeddings
by: Tsukagoshi, Hayato, et al.
Published: (2024)

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings
by: Tsukagoshi, Hayato, et al.
Published: (2025)

When Is 0.1% Enough? Analyzing the Combined Effects of Dimensionality Reduction and Quantization on Text Embedding Compression
by: Kisako, Riku, et al.
Published: (2026)

FrameEOL: Semantic Frame Induction using Causal Language Models
by: Yano, Chihiro, et al.
Published: (2025)

WikiSplit++: Easy Data Refinement for Split and Rephrase
by: Tsukagoshi, Hayato, et al.
Published: (2024)

Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification
by: Aono, Kotaro, et al.
Published: (2024)

How Do Language Models Acquire Character-Level Information?
by: Sato, Soma, et al.
Published: (2026)

CiMaTe: Citation Count Prediction Effectively Leveraging the Main Text
by: Hirako, Jun, et al.
Published: (2024)

Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments
by: Tanaka, Kunitomo, et al.
Published: (2024)

Low-Cost Generation and Evaluation of Dictionary Example Sentences
by: Cai, Bill, et al.
Published: (2024)

Zero-shot and Few-shot Generation Strategies for Artificial Clinical Records
by: Frayling, Erlend, et al.
Published: (2024)

2D Matryoshka Sentence Embeddings
by: Li, Xianming, et al.
Published: (2024)

Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs
by: Oshika, Masashi, et al.
Published: (2024)

Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain
by: Zyblewski, Paweł, et al.
Published: (2024)

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
by: Xue, Yihao, et al.
Published: (2023)

BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)

SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
by: Brinner, Marc, et al.
Published: (2025)

Designing Informative Metrics for Few-Shot Example Selection
by: Adiga, Rishabh, et al.
Published: (2024)

RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
by: Asl, Javad Rafiei, et al.
Published: (2024)

Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings
by: Liu, Junlong, et al.
Published: (2024)

More Discriminative Sentence Embeddings via Semantic Graph Smoothing
by: Fettal, Chakib, et al.
Published: (2024)

FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
by: Wang, Qianli, et al.
Published: (2025)

FLEx: Language Modeling with Few-shot Language Explanations
by: Avsian, Adar, et al.
Published: (2026)

Learning to Learn for Few-shot Continual Active Learning
by: Ho, Stella, et al.
Published: (2023)

Hierarchical Classification of Transversal Skills in Job Ads Based on Sentence Embeddings
by: Leon, Florin, et al.
Published: (2024)

Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings
by: Fan, Xiran, et al.
Published: (2025)

Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of Sentences
by: Schneider, Johannes
Published: (2023)

Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning
by: Li, Chengzhengxu, et al.
Published: (2023)

Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction
by: Burdisso, Sergio, et al.
Published: (2024)

DrugLLM: Open Large Language Model for Few-shot Molecule Generation
by: Liu, Xianggen, et al.
Published: (2024)

Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
by: Yuan, Yifei, et al.
Published: (2025)

Static Word Embeddings for Sentence Semantic Representation
by: Wada, Takashi, et al.
Published: (2025)

Memory Tokens: Large Language Models Can Generate Reversible Sentence Embeddings
by: Sastre, Ignacio, et al.
Published: (2025)

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

Unsupervised Text Segmentation via Kernel Change-Point Detection on Sentence Embeddings
by: Jia, Mumin, et al.
Published: (2026)

Learning New Tasks from a Few Examples with Soft-Label Prototypes
by: Singh, Avyav Kumar, et al.
Published: (2022)

Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing
by: Hong, Mengze, et al.
Published: (2024)

Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
by: Liu, Haochen, et al.
Published: (2024)

Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams
by: Garcia, Cristiano Mesquita, et al.
Published: (2024)