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 426450 of 1564 papers

TitleStatusHype
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and PredictionCode2
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
Translating away Translationese without Parallel Data0
Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE0
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
Meaning Representations from Trajectories in Autoregressive ModelsCode1
Chain-of-Factors Paper-Reviewer MatchingCode0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models0
Prompt-based Grouping Transformer for Nucleus Detection and ClassificationCode0
Visual Grounding Helps Learn Word Meanings in Low-Data RegimesCode1
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling0
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
Context Compression for Auto-regressive Transformers with Sentinel TokensCode1
Transformers for Green Semantic Communication: Less Energy, More SemanticsCode0
AstroCLIP: A Cross-Modal Foundation Model for GalaxiesCode1
Bridging the Gap between Structural and Semantic Similarity in Diverse PlanningCode0
Semantic similarity prediction is better than other semantic similarity measuresCode0
Decoding Emotional Experiences in Dyadic Conversations of Married Couples: Leveraging Semantic Similarity through Sentence Embedding0
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?0
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language ModelsCode1
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation0
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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