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STS

Papers

Showing 101125 of 334 papers

TitleStatusHype
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from DatasetsCode0
Characterizing the limits of human stability during motion: perturbative experiment validates a model-based approach for the Sit-to-Stand taskCode0
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word VectorsCode0
Semantic similarity prediction is better than other semantic similarity measuresCode0
Model Comparison for Semantic GroupingCode0
Parameter-Efficient Transformer EmbeddingsCode0
Don’t Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention PoolingCode0
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention PoolingCode0
Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence GenerationCode0
Sim-GPT: Text Similarity via GPT Annotated DataCode0
Distilling Word Meaning in Context from Pre-trained Language ModelsCode0
Linguistically Conditioned Semantic Textual SimilarityCode0
Distilling Monolingual and Crosslingual Word-in-Context RepresentationsCode0
Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural NetworkCode0
BL.Research at SemEval-2022 Task 8: Using various Semantic Information to evaluate document-level Semantic Textual SimilarityCode0
Instance Smoothed Contrastive Learning for Unsupervised Sentence EmbeddingCode0
2D Matryoshka Training for Information RetrievalCode0
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its ApplicationsCode0
Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCECode0
Improving Multi-lingual Alignment Through Soft Contrastive LearningCode0
GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence EmbeddingsCode0
Correlations between Word Vector SetsCode0
Unmasking the Role of Remote Sensors in Comfort, Energy and Demand ResponseCode0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk AlignerCode0
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
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