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 451500 of 2381 papers

TitleStatusHype
Hybrid Semantic Recommender System for Chemical CompoundsCode0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech DatasetsCode0
Multimodal Visual Concept Learning with Weakly Supervised TechniquesCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action CountingCode0
Global and Local Information Adjustment for Semantic Similarity EvaluationCode0
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question AnsweringCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
Bridging the Gap between Structural and Semantic Similarity in Diverse PlanningCode0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
NLP Verification: Towards a General Methodology for Certifying RobustnessCode0
Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer InsightsCode0
Import2vec - Learning Embeddings for Software LibrariesCode0
Generating More Interesting Responses in Neural Conversation Models with Distributional ConstraintsCode0
GenSense: A Generalized Sense Retrofitting ModelCode0
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivizationCode0
Instance Smoothed Contrastive Learning for Unsupervised Sentence EmbeddingCode0
Graph Component Contrastive Learning for Concept Relatedness EstimationCode0
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional OperationsCode0
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential RecommendationCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and DomainsCode0
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningCode0
Finnish resources for evaluating language model semanticsCode0
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationCode0
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with MomentumCode0
An Unsupervised Word Sense Disambiguation System for Under-Resourced LanguagesCode0
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical StudyCode0
BL.Research at SemEval-2022 Task 8: Using various Semantic Information to evaluate document-level Semantic Textual SimilarityCode0
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEsCode0
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence ScenariosCode0
FarFetched: Entity-centric Reasoning and Claim Validation for the Greek Language based on Textually Represented EnvironmentsCode0
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERTCode0
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse NetworksCode0
FFCI: A Framework for Interpretable Automatic Evaluation of SummarizationCode0
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image RetrievalCode0
A Generalized Method for Automated Multilingual Loanword DetectionCode0
A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological DistanceCode0
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution DetectionCode0
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence SimilarityCode0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
A Comparative Study of Text Embedding Models for Semantic Text Similarity in Bug ReportsCode0
Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence EmbeddingsCode0
Exploring RWKV for Sentence Embeddings: Layer-wise Analysis and Baseline Comparison for Semantic SimilarityCode0
Fake News Detection After LLM Laundering: Measurement and ExplanationCode0
Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual InformationCode0
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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
8ALBERTPearson Correlation0.93Unverified
9T5-11BPearson 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