STS Benchmark

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
  31 Jul 2017 3 repositories listed
  Semantic Textual Similarity (STS) measures the meaning similarity of sentences.
• PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT
  22 Mar 2021 2 repositories listed
  This study provides an efficient approach for using text data to calculate patent-to-patent (p2p) technological similarity, and presents a hybrid framework for leveraging the resulting p2p similarity for applications…
• GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings
  18 Oct 2024 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  Training-free embedding methods directly leverage pretrained large language models (LLMs) to embed text, bypassing the costly and complex procedure of contrastive learning.
• Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
  20 Feb 2024 1 repository listed
  While BERT produces high-quality sentence embeddings, its pre-training computational cost is a significant drawback.
• JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications
  19 Jan 2023 1 repository listed
  To overcome this, we propose a novel Japanese sentence representation framework, JCSE (derived from ``Contrastive learning of Sentence Embeddings for Japanese''), that creates training data by generating sentences and…
• Paraphrase Thought: Sentence Embedding Module Imitating Human Language Recognition
  16 Aug 2018 1 repository listed
  However, because the performances of sentence classification and sentiment analysis can be enhanced by using a simple sentence representation method, it is not sufficient to claim that these models fully reflect the…
• Learning Semantic Textual Similarity from Conversations
  20 Apr 2018 1 repository listed Syntology ran 0 of 17 samples · 17 unverified
  We present a novel approach to learn representations for sentence-level semantic similarity using conversational data.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.