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 51–100 of 1564 papers

TitleStatusHype
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language ModelsCode0
One-Step Offline Distillation of Diffusion-based Models via Koopman ModelingCode1
Community Search in Time-dependent Road-social Attributed Networks—0
Fine-Grained ECG-Text Contrastive Learning via Waveform Understanding Enhancement—0
ELITE: Embedding-Less retrieval with Iterative Text ExplorationCode1
Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language ModelsCode0
Evaluations at Work: Measuring the Capabilities of GenAI in Use—0
AI-enhanced semantic feature norms for 786 concepts—0
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation—0
Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports—0
A 2D Semantic-Aware Position Encoding for Vision Transformers—0
TrialMatchAI: An End-to-End AI-powered Clinical Trial Recommendation System to Streamline Patient-to-Trial Matching—0
Are LLMs complicated ethical dilemma analyzers?Code0
Hypernym Mercury: Token Optimization Through Semantic Field Constriction And Reconstruction From Hypernyms. A New Text Compression Method—0
Concept-Level Explainability for Auditing & Steering LLM ResponsesCode0
Jailbreaking the Text-to-Video Generative Models—0
Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework—0
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM—0
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems—0
R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training—0
20min-XD: A Comparable Corpus of Swiss News ArticlesCode0
Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction—0
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging—0
ReCellTy: Domain-specific knowledge graph retrieval-augmented LLMs workflow for single-cell annotation—0
Cyc3D: Fine-grained Controllable 3D Generation via Cycle Consistency Regularization—0
Stay Hungry, Stay Foolish: On the Extended Reading Articles Generation with LLMs—0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity—0
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving SafetyCode0
CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented GenerationCode1
Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events—0
Self-Controlled Dynamic Expansion Model for Continual Learning—0
HD-RAG: Retrieval-Augmented Generation for Hybrid Documents Containing Text and Hierarchical Tables—0
Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions—0
Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety—0
Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone—0
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation—0
Horizon Scans can be accelerated using novel information retrieval and artificial intelligence tools—0
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching—0
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights—0
IMPACT: A Generic Semantic Loss for Multimodal Medical Image RegistrationCode1
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base—0
Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking—0
A Quantitative Approach to Evaluating Open-Source EHR Systems for Indian Healthcare—0
HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery—0
BeLightRec: A lightweight recommender system enhanced with BERT—0
Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug SafetyCode0
SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI—0
CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation—0
Unleashing the power of text for credit default prediction: Comparing human-written and generative AI-refined texts—0
Vision Transformer Based Semantic Communications for Next Generation Wireless Networks—0
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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