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 376400 of 2381 papers

TitleStatusHype
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification ProblemsCode0
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action CountingCode0
Aiming beyond the Obvious: Identifying Non-Obvious Cases in Semantic Similarity DatasetsCode0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
Harnessing Frozen Unimodal Encoders for Flexible Multimodal AlignmentCode0
GenSense: A Generalized Sense Retrofitting ModelCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
Towards Flexible Evaluation for Generative Visual Question AnsweringCode0
Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual SimilarityCode0
Capturing Semantic Similarity for Entity Linking with Convolutional Neural NetworksCode0
Generating More Interesting Responses in Neural Conversation Models with Distributional ConstraintsCode0
CARER: Contextualized Affect Representations for Emotion RecognitionCode0
Identifying Semantic Divergences in Parallel Text without AnnotationsCode0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
Are LLMs complicated ethical dilemma analyzers?Code0
Improve Chinese Word Embeddings by Exploiting Internal StructureCode0
Global and Local Information Adjustment for Semantic Similarity EvaluationCode0
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on TextCode0
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text SummarizationCode0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and DomainsCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningCode0
FFCI: A Framework for Interpretable Automatic Evaluation of SummarizationCode0
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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