SOTAVerified

Semantic Textual Similarity

Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.

Image source: Learning Semantic Textual Similarity from Conversations

Papers

Showing 526550 of 2381 papers

TitleStatusHype
How to Evaluate Semantic Communications for Images with ViTScore Metric?0
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue0
Linking Symptom Inventories using Semantic Textual Similarity0
Parameter Efficient Audio Captioning With Faithful Guidance Using Audio-text Shared Latent Representation0
LinkTransformer: A Unified Package for Record Linkage with Transformer Language ModelsCode1
A Computational Evaluation Framework for Singable Lyric Translation0
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge DistillationCode1
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions0
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model BiasCode1
Audio-Visual Class-Incremental LearningCode1
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature SelectionCode0
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces0
A Comparative Study of Text Embedding Models for Semantic Text Similarity in Bug ReportsCode0
Integrating Visual and Semantic Similarity Using Hierarchies for Image RetrievalCode0
Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity0
Semantic Similarity Loss for Neural Source Code SummarizationCode0
Approximating Human-Like Few-shot Learning with GPT-based Compression0
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose EstimationCode1
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised LearningCode0
Identifying Essential Hub Genes and Protein Complexes in Malaria GO Data using Semantic Similarity Measures0
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight0
Targeted and Troublesome: Tracking and Advertising on Children's Websites0
Collective Human Opinions in Semantic Textual SimilarityCode0
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation0
Improving Generalization of Image Captioning with Unsupervised Prompt Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SMARTRoBERTaDev Pearson Correlation92.8Unverified
2DeBERTa (large)Accuracy92.5Unverified
3SMART-BERTDev Pearson Correlation90Unverified
4MT-DNN-SMARTPearson Correlation0.93Unverified
5StructBERTRoBERTa ensemblePearson Correlation0.93Unverified
6Mnet-SimPearson Correlation0.93Unverified
7XLNet (single model)Pearson Correlation0.93Unverified
8T5-11BPearson Correlation0.93Unverified
9ALBERTPearson Correlation0.93Unverified
10RoBERTaPearson Correlation0.92Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-UAESpearman Correlation84.54Unverified
2ST5-XXLSpearman Correlation82.63Unverified
3ST5-LargeSpearman Correlation81.83Unverified
4ST5-XLSpearman Correlation81.66Unverified
5ST5-BaseSpearman Correlation81.14Unverified
6MPNet-multilingualSpearman Correlation80.73Unverified
7SGPT-5.8B-nliSpearman Correlation80.53Unverified
8MPNetSpearman Correlation80.28Unverified
9MiniLM-L12Spearman Correlation79.8Unverified
10SimCSE-BERT-supSpearman Correlation79.12Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAccuracy93.7Unverified
2ALBERTAccuracy93.4Unverified
3RoBERTa (ensemble)Accuracy92.3Unverified
4BigBirdF191.5Unverified
5StructBERTRoBERTa ensembleAccuracy91.5Unverified
6FLOATER-largeAccuracy91.4Unverified
7SMARTAccuracy91.3Unverified
8RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned)Accuracy91Unverified
9RoBERTa-large 355M + Entailment as Few-shot LearnerF191Unverified
10SpanBERTAccuracy90.9Unverified
#ModelMetricClaimedVerifiedStatus
1PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.82Unverified
2PromptEOL+CSE+LLaMA-30BSpearman Correlation0.82Unverified
3PromptEOL+CSE+OPT-13BSpearman Correlation0.82Unverified
4SimCSE-RoBERTalargeSpearman Correlation0.82Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.81Unverified
6SentenceBERTSpearman Correlation0.75Unverified
7SRoBERTa-NLI-baseSpearman Correlation0.74Unverified
8SRoBERTa-NLI-largeSpearman Correlation0.74Unverified
9Dino (STS/̄🦕)Spearman Correlation0.74Unverified
10SBERT-NLI-largeSpearman Correlation0.74Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-LLaMA-7BSpearman Correlation0.91Unverified
2AnglE-LLaMA-7B-v2Spearman Correlation0.91Unverified
3PromptEOL+CSE+LLaMA-30BSpearman Correlation0.9Unverified
4PromptEOL+CSE+OPT-13BSpearman Correlation0.9Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.9Unverified
6PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.89Unverified
7Trans-Encoder-BERT-large-bi (unsup.)Spearman Correlation0.89Unverified
8Trans-Encoder-BERT-large-cross (unsup.)Spearman Correlation0.88Unverified
9Trans-Encoder-RoBERTa-large-cross (unsup.)Spearman Correlation0.88Unverified
10SimCSE-RoBERTa-largeSpearman Correlation0.87Unverified