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

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Showing 101–150 of 1564 papers

TitleStatusHype
High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous FlightCode1
KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse—0
A General Close-loop Predictive Coding Framework for Auditory Working Memory—0
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot ClassificationCode0
Measuring Similarity in Causal Graphs: A Framework for Semantic and Structural Analysis—0
PromptMap: An Alternative Interaction Style for AI-Based Image GenerationCode0
AuthorMist: Evading AI Text Detectors with Reinforcement Learning—0
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language AlignmentCode0
MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation—0
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols—0
SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding—0
Improving RAG Retrieval via Propositional Content Extraction: a Speech Act Theory Approach—0
SEOE: A Scalable and Reliable Semantic Evaluation Framework for Open Domain Event Detection—0
Token-Level Privacy in Large Language Models—0
Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained ModelCode0
Language-agnostic, automated assessment of listeners' speech recall using large language models—0
Statistical Mechanics of Semantic Compression—0
SGC-Net: Stratified Granular Comparison Network for Open-Vocabulary HOI DetectionCode1
TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions—0
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information FlowCode1
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models—0
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models—0
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching—0
CLIMB-3D: Continual Learning for Imbalanced 3D Instance SegmentationCode0
Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses—0
ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models—0
Constructing a Norm for Children's Scientific Drawing: Distribution Features Based on Semantic Similarity of Large Language Models—0
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity—0
A Meta-Evaluation of Style and Attribute Transfer Metrics—0
DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model—0
Exploring RWKV for Sentence Embeddings: Layer-wise Analysis and Baseline Comparison for Semantic SimilarityCode0
Event Segmentation Applications in Large Language Model Enabled Automated Recall Assessments—0
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential RecommendationCode0
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation—0
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models—0
Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal ReasoningCode0
Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer InsightsCode0
PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval—0
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering—0
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy—0
How does a Multilingual LM Handle Multiple Languages?—0
Detecting Backdoor Attacks via Similarity in Semantic Communication Systems—0
How do Humans and Language Models Reason About Creativity? A Comparative Analysis—0
HSI: A Holistic Style Injector for Arbitrary Style Transfer—0
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution—0
Transformer Semantic Genetic Programming for Symbolic Regression—0
Fake News Detection After LLM Laundering: Measurement and ExplanationCode0
Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations—0
Recommending Actionable Strategies: A Semantic Approach to Integrating Analytical Frameworks with Decision Heuristics—0
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMsCode0
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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 uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT cased (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