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

Showing 501550 of 1564 papers

TitleStatusHype
Prompt-tuning for Clickbait Detection via Text Summarization0
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks0
Exploring Key Point Analysis with Pairwise Generation and Graph PartitioningCode0
Toward a Realistic Benchmark for Out-of-Distribution Detection0
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods0
Know When To Stop: A Study of Semantic Drift in Text Generation0
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucinationCode0
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach0
ALOHa: A New Measure for Hallucination in Captioning Models0
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic SimilarityCode0
ParaICL: Towards Parallel In-Context LearningCode0
Lightweight Embeddings for Graph Collaborative FilteringCode0
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment0
Attention-aware semantic relevance predicting Chinese sentence reading0
Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language0
Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasksCode0
Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs0
ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models0
A Collection of Pragmatic-Similarity Judgments over Spoken Dialog UtterancesCode0
Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives0
RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical DomainCode0
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models0
NLP Verification: Towards a General Methodology for Certifying RobustnessCode0
SIFiD: Reassess Summary Factual Inconsistency Detection with LLM0
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach0
Deep Contrastive Multi-view Clustering under Semantic Feature Guidance0
Is Cosine-Similarity of Embeddings Really About Similarity?0
Persona Extraction Through Semantic Similarity for Emotional Support Conversation Generation0
SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt DenoisingCode0
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features0
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access0
Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off0
PaECTER: Patent-level Representation Learning using Citation-informed Transformers0
BiVRec: Bidirectional View-based Multimodal Sequential Recommendation0
Investigating Continual Pretraining in Large Language Models: Insights and Implications0
Sequential Visual and Semantic Consistency for Semi-supervised Text Recognition0
The Impact of Word Splitting on the Semantic Content of Contextualized Word RepresentationsCode0
Efficient data selection employing Semantic Similarity-based Graph Structures for model training0
Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs0
On Defining Smart Cities using Transformer Neural Networks0
UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translationCode0
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based MetricCode0
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis0
OrderBkd: Textual backdoor attack through repositioningCode0
Large Language Model Augmented Exercise Retrieval for Personalized Language Learning0
Multi-Lingual Malaysian Embedding: Leveraging Large Language Models for Semantic Representations0
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on TextCode0
In-Context Learning for Few-Shot Nested Named Entity Recognition0
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability0
Autoencoder-Based Domain Learning for Semantic Communication with Conceptual Spaces0
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Benchmark Results

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