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Sentence Embeddings

Papers

Showing 150 of 615 papers

TitleStatusHype
2D Matryoshka Sentence EmbeddingsCode4
4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language ModelsCode2
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object DetectionCode2
Decoupling Static and Hierarchical Motion Perception for Referring Video SegmentationCode2
BeLLM: Backward Dependency Enhanced Large Language Model for Sentence EmbeddingsCode2
SONAR: Sentence-Level Multimodal and Language-Agnostic RepresentationsCode2
DiffCSE: Difference-based Contrastive Learning for Sentence EmbeddingsCode2
SGPT: GPT Sentence Embeddings for Semantic SearchCode2
PromptBERT: Improving BERT Sentence Embeddings with PromptsCode2
SimCSE: Simple Contrastive Learning of Sentence EmbeddingsCode2
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceCode2
SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language ModelsCode1
Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow ExtractionCode1
Unsupervised Extractive Dialogue Summarization in Hyperdimensional SpaceCode1
Characterising the Creative Process in Humans and Large Language ModelsCode1
Simple Techniques for Enhancing Sentence Embeddings in Generative Language ModelsCode1
KDMCSE: Knowledge Distillation Multimodal Sentence Embeddings with Adaptive Angular margin Contrastive LearningCode1
Hyper-CL: Conditioning Sentence Representations with HypernetworksCode1
Meta-Task Prompting Elicits Embeddings from Large Language ModelsCode1
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic RepresentationsCode1
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot ClassificationCode1
Japanese SimCSE Technical ReportCode1
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-EncodersCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text ClassificationCode1
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge DistillationCode1
The Five-Dollar Model: Generating Game Maps and Sprites from Sentence EmbeddingsCode1
Scaling Sentence Embeddings with Large Language ModelsCode1
Whitening-based Contrastive Learning of Sentence EmbeddingsCode1
Contrastive Learning of Sentence Embeddings from ScratchCode1
Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole SentenceCode1
Improving Contrastive Learning of Sentence Embeddings from AI FeedbackCode1
Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of SentencesCode1
Relational Sentence Embedding for Flexible Semantic MatchingCode1
English Contrastive Learning Can Learn Universal Cross-lingual Sentence EmbeddingsCode1
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence EmbeddingsCode1
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering RepresentationsCode1
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddingsCode1
InfoCSE: Information-aggregated Contrastive Learning of Sentence EmbeddingsCode1
Non-Linguistic Supervision for Contrastive Learning of Sentence EmbeddingsCode1
Reweighting Strategy based on Synthetic Data Identification for Sentence SimilarityCode1
Training Effective Neural Sentence Encoders from Automatically Mined ParaphrasesCode1
On the Effectiveness of Sentence Encoding for Intent Detection Meta-LearningCode1
SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic FeaturesCode1
Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved NegativesCode1
EASE: Entity-Aware Contrastive Learning of Sentence EmbeddingCode1
SCD: Self-Contrastive Decorrelation of Sentence EmbeddingsCode1
NMTScore: A Multilingual Analysis of Translation-based Text Similarity MeasuresCode1
MCSE: Multimodal Contrastive Learning of Sentence EmbeddingsCode1
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for TopicsCode1
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