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 701750 of 2381 papers

TitleStatusHype
Unveiling Safety Vulnerabilities of Large Language Models0
Relation Extraction Model Based on Semantic Enhancement Mechanism0
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval0
Contextualizing the Limits of Model & Evaluation Dataset Curation on Semantic Similarity Classification Tasks0
ProcSim: Proxy-based Confidence for Robust Similarity Learning0
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE0
Translating away Translationese without Parallel Data0
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model PretrainingCode0
Can GPT models Follow Human Summarization Guidelines? Evaluating ChatGPT and GPT-4 for Dialogue Summarization0
Topology-aware Debiased Self-supervised Graph Learning for RecommendationCode0
Chain-of-Factors Paper-Reviewer MatchingCode0
Prompt-based Grouping Transformer for Nucleus Detection and ClassificationCode0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models0
Investigating semantic subspaces of Transformer sentence embeddings through linear structural probingCode0
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling0
Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation0
Noise Contrastive Estimation-based Matching Framework for Low-resource Security Attack Pattern Recognition0
Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship NetworkCode0
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval0
Transformers for Green Semantic Communication: Less Energy, More SemanticsCode0
Bridging the Gap between Structural and Semantic Similarity in Diverse PlanningCode0
Semantic similarity prediction is better than other semantic similarity measuresCode0
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?0
Decoding Emotional Experiences in Dyadic Conversations of Married Couples: Leveraging Semantic Similarity through Sentence Embedding0
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation0
Embed-Search-Align: DNA Sequence Alignment using Transformer Models0
Studying Lobby Influence in the European Parliament0
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation0
Semantic Information Extraction for Text Data with Probability Graph0
Rethinking STS and NLI in Large Language Models0
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding0
Ambiguity-Aware In-Context Learning with Large Language Models0
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective0
Feature Engineering in Learning-to-Rank for Community Question Answering Task0
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity0
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model0
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
A Computational Evaluation Framework for Singable Lyric Translation0
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions0
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
Approximating Human-Like Few-shot Learning with GPT-based Compression0
Semantic Similarity Loss for Neural Source Code 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