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 351400 of 2381 papers

TitleStatusHype
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performanceCode0
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language UnderstandingCode0
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text SummarizationCode0
INO at Factify 2: Structure Coherence based Multi-Modal Fact VerificationCode0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMsCode0
Improving Adversarial Robustness with Self-Paced Hard-Class Pair ReweightingCode0
Image Similarity using An Ensemble of Context-Sensitive ModelsCode0
Identifying Semantic Divergences in Parallel Text without AnnotationsCode0
ImpliRet: Benchmarking the Implicit Fact Retrieval ChallengeCode0
Improving Lexical Embeddings with Semantic KnowledgeCode0
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivizationCode0
CARER: Contextualized Affect Representations for Emotion RecognitionCode0
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-AnsweringCode0
Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual SimilarityCode0
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on TextCode0
Towards Flexible Evaluation for Generative Visual Question AnsweringCode0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive RegularizationCode0
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token EmbeddingsCode0
Improving Long Document Topic Segmentation Models With Enhanced Coherence ModelingCode0
Guiding and Diversifying LLM-Based Story Generation via Answer Set ProgrammingCode0
A Joint Sequence Fusion Model for Video Question Answering and RetrievalCode0
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
Harnessing Frozen Unimodal Encoders for Flexible Multimodal AlignmentCode0
A random forest based computational model for predicting novel lncRNA-disease associationsCode0
Calculating the similarity between words and sentences using a lexical database and corpus statisticsCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action CountingCode0
Hierarchy-based Image Embeddings for Semantic Image RetrievalCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
GenSense: A Generalized Sense Retrofitting ModelCode0
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification ProblemsCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
Capturing Semantic Similarity for Entity Linking with Convolutional Neural NetworksCode0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity DatasetsCode0
Hybrid Semantic Recommender System for Chemical CompoundsCode0
Global and Local Information Adjustment for Semantic Similarity EvaluationCode0
Are LLMs complicated ethical dilemma analyzers?Code0
Identifying Cognate Sets Across Dictionaries of Related LanguagesCode0
Category-aware EEG image generation based on wavelet transform and contrast semantic lossCode0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk AlignerCode0
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical StudyCode0
Improve Chinese Word Embeddings by Exploiting Internal StructureCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and DomainsCode0
Generating More Interesting Responses in Neural Conversation Models with Distributional ConstraintsCode0
Finnish resources for evaluating language model semanticsCode0
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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