MTEB 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

1 dataset 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 (13 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.

• Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
  30 Oct 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Text embedding models have emerged as powerful tools for transforming sentences into fixed-sized feature vectors that encapsulate semantic information.
• C-Pack: Packed Resources For General Chinese Embeddings
  14 Sep 2023 2 repositories listed
  Along with our resources on general Chinese embedding, we release our data and models for English text embeddings.
• NeoBERT: A Next-Generation BERT
  26 Feb 2025 1 repository listed
  Recent innovations in architecture, pre-training, and fine-tuning have led to the remarkable in-context learning and reasoning abilities of large auto-regressive language models such as LLaMA and DeepSeek.
• KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model
  2 Jan 2025 1 repository listed
  As retrieval-augmented generation prevails in large language models, embedding models are becoming increasingly crucial.
• 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.
• A Bi-metric Framework for Fast Similarity Search
  5 Jun 2024 1 repository listed
  In both cases we show that, as long as the proxy metric used to construct the data structure approximates the ground-truth metric up to a bounded factor, our data structure achieves arbitrarily good approximation…
• Text Embeddings by Weakly-Supervised Contrastive Pre-training
  7 Dec 2022 1 repository listed
  This paper presents E5, a family of state-of-the-art text embeddings that transfer well to a wide range of tasks.

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.