SOTAVerified

Semantic Textual Similarity

Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.

Image source: Learning Semantic Textual Similarity from Conversations

Papers

Showing 110 of 2381 papers

TitleStatusHype
SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts0
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression0
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution DetectionCode0
LineRetriever: Planning-Aware Observation Reduction for Web Agents0
DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning0
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval0
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models0
Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn't Help with MT Evaluation0
PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty0
Semantic similarity estimation for domain specific data using BERT and other techniques0
Show:102550
← PrevPage 1 of 239Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AnglE-LLaMA-7BSpearman Correlation0.91Unverified
2AnglE-LLaMA-7B-v2Spearman Correlation0.91Unverified
3PromptEOL+CSE+LLaMA-30BSpearman Correlation0.9Unverified
4PromptEOL+CSE+OPT-13BSpearman Correlation0.9Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.9Unverified
6PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.89Unverified
7Trans-Encoder-BERT-large-bi (unsup.)Spearman Correlation0.89Unverified
8Trans-Encoder-BERT-large-cross (unsup.)Spearman Correlation0.88Unverified
9Trans-Encoder-RoBERTa-large-cross (unsup.)Spearman Correlation0.88Unverified
10SimCSE-RoBERTa-largeSpearman Correlation0.87Unverified