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Sentence Embedding

Papers

Showing 76100 of 407 papers

TitleStatusHype
Hierarchical Classification of Transversal Skills in Job Ads Based on Sentence Embeddings0
Sentiment analysis in Tourism: Fine-tuning BERT or sentence embeddings concatenation?0
Some Like It Small: Czech Semantic Embedding Models for Industry ApplicationsCode1
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking0
Translation Aligned Sentence Embeddings for Turkish Language0
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing AssistanceCode0
An Efficient Self-Supervised Cross-View Training For Sentence EmbeddingCode1
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot ClassificationCode1
Japanese SimCSE Technical ReportCode1
TST^R: Target Similarity Tuning Meets the Real World0
On the Dimensionality of Sentence Embeddings0
On the Language Encoder of Contrastive Cross-modal Models0
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical UnderstandingCode0
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation LearningCode0
Decoding Emotional Experiences in Dyadic Conversations of Married Couples: Leveraging Semantic Similarity through Sentence Embedding0
Sentence Attention Blocks for Answer Grounding0
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding0
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective0
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge DistillationCode1
SONAR: Sentence-Level Multimodal and Language-Agnostic RepresentationsCode2
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation0
Topological Interpretations of GPT-30
Scaling Sentence Embeddings with Large Language ModelsCode1
Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models0
AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge0
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