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Sentence Embeddings

Papers

Showing 176200 of 615 papers

TitleStatusHype
Learning Semantic Textual Similarity from ConversationsCode0
EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode DecompositionCode0
Embarrassingly Simple Performance Prediction for Abductive Natural Language InferenceCode0
A Comparative Study on Structural and Semantic Properties of Sentence EmbeddingsCode0
LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based MethodsCode0
Approach to Predicting News -- A Precise Multi-LSTM Network With BERTCode0
Emu: Enhancing Multilingual Sentence Embeddings with Semantic SpecializationCode0
Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCECode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
Information Leakage of Sentence Embeddings via Generative Embedding Inversion AttacksCode0
iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023Code0
Hyperbolic Neural NetworksCode0
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional OperationsCode0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
Evaluating Composition Models for Verb Phrase Elliptical Sentence EmbeddingsCode0
In-Context Example Selection via Similarity Search Improves Low-Resource Machine TranslationCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence RepresentationsCode0
Evaluation of sentence embeddings in downstream and linguistic probing tasksCode0
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task EvaluationCode0
Sentence Embeddings for Russian NLUCode0
Composition-contrastive Learning for Sentence EmbeddingsCode0
Sentence Embeddings in NLI with Iterative Refinement EncodersCode0
Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue PlanningCode0
Global Textual Relation Embedding for Relational UnderstandingCode0
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