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Sentence Embeddings

Papers

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TitleStatusHype
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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