SOTAVerified

Semantic Similarity

The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.

Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 1564 papers

TitleStatusHype
Decoupling Semantic Similarity from Spatial Alignment for Neural NetworksCode0
Conjuring Semantic Similarity—0
Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems—0
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model—0
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with MomentumCode0
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation—0
PromptExp: Multi-granularity Prompt Explanation of Large Language Models—0
Back-of-the-Book Index Automation for Arabic Documents—0
Improving Legal Entity Recognition Using a Hybrid Transformer Model and Semantic Filtering Approach—0
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks—0
Graded Suspiciousness of Adversarial Texts to Human—0
Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models—0
Evaluating Deduplication Techniques for Economic Research Paper Titles with a Focus on Semantic Similarity using NLP and LLMs—0
UniAdapt: A Universal Adapter for Knowledge Calibration—0
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms—0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task—0
Unveiling Ontological Commitment in Multi-Modal Foundation Models—0
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games—0
Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioning—0
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment—0
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis—0
Reasoning Graph Enhanced Exemplars Retrieval for In-Context LearningCode0
Prompt Obfuscation for Large Language Models—0
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift GeneralizationCode0
An Unsupervised Dialogue Topic Segmentation Model Based on Utterance Rewriting—0
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning—0
Self-Judge: Selective Instruction Following with Alignment Self-EvaluationCode0
LanguaShrink: Reducing Token Overhead with Psycholinguistics—0
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action CountingCode0
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningCode0
Contrastive Learning Subspace for Text Clustering—0
HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models—0
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment—0
reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive LearningCode0
Semantics or spelling? Probing contextual word embeddings with orthographic noiseCode0
A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce—0
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual LearningCode0
Ontological Relations from Word Embeddings—0
Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning—0
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent—0
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and SparsityCode0
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights—0
FarSSiBERT: A Novel Transformer-based Model for Semantic Similarity Measurement of Persian Social Networks Informal Texts—0
Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation—0
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing—0
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text SpatializationsCode0
Robust Privacy Amidst Innovation with Large Language Models Through a Critical Assessment of the RisksCode0
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language ModelsCode0
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All datasetsAnnotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)SICKBIOSSESCHIP-STSClinicalSTSMedSTS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F193.38—Unverified
2SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F191.51—Unverified
3SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F190.69—Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.16—Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.12—Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.75—Unverified
2SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F186.8—Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F184.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Doc2VecCMSE0.31—Unverified
2LSTM (Tai et al., 2015)MSE0.28—Unverified
3Bidirectional LSTM (Tai et al., 2015)MSE0.27—Unverified
4combine-skip (Kiros et al., 2015)MSE0.27—Unverified
5Dependency Tree-LSTM (Tai et al., 2015)MSE0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BioLinkBERT (large)Pearson Correlation0.94—Unverified
2BioLinkBERT (base)Pearson Correlation0.93—Unverified
3NCBI_BERT(base) (P+M)Pearson Correlation0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1MacBERT-largeMacro F185.6—Unverified
#ModelMetricClaimedVerifiedStatus
1CharacterBERT (base, medical, ensemble)Pearson Correlation85.62—Unverified
#ModelMetricClaimedVerifiedStatus
1NCBI_BERT(base) (P+M)Pearson Correlation0.85—Unverified