embedding models - Robuta Search

https://www.arxiv.org/abs/2601.08189

[2601.08189] ForgetMark: Stealthy Fingerprint Embedding via Targeted Unlearning in Language Models

Abstract page for arXiv paper 2601.08189: ForgetMark: Stealthy Fingerprint Embedding via Targeted Unlearning in Language Models

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https://dev.to/simplr_sh/comparing-popular-embedding-models-choosing-the-right-one-for-your-use-case-43p1

Embeddings are numerical representations of text, images, or other data types, capturing semantic... Tagged with webdev, programming, ai, machinelearning.

https://arxiv.org/abs/2311.07996v1

[2311.07996v1] How Well Do Text Embedding Models Understand Syntax?

Abstract page for arXiv paper 2311.07996v1: How Well Do Text Embedding Models Understand Syntax?

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https://research.google/pubs/scaling-embedding-layers-in-language-models/

Scaling Embedding Layers in Language Models

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https://aclanthology.org/2020.textgraphs-1.1/

A survey of embedding models of entities and relationships for knowledge graph completion - ACL...

Dat Quoc Nguyen. Proceedings of the Graph-based Methods for Natural Language Processing (TextGraphs). 2020.

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https://cohere.com/blog/embedding-models

What Are Embedding Models? Benefits and Best Practices

An embedding model takes raw input data and converts it into numerical representations or "embeddings." These capture relationships and patterns in data.

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https://www.ijcai.org/Abstract/11/236

Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding

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https://aclanthology.org/2022.cl-4.18/

Neural Embedding Allocation: Distributed Representations of Topic Models - ACL Anthology

Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds. Computational Linguistics, Volume 48, Issue 4 - December 2022. 2022.

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https://huggingface.co/papers/2406.04165

Paper page - Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe

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https://www.kth.se/forskning/kalender/towards-unsupervised-analysable-and-scalable-node-embedding-models-for-transaction-networks-1.1440685?date=2025-12-10&orgdate=2025-05-10&length=1&orglength=236

Towards Unsupervised, Analysable and Scalable Node Embedding Models for Transaction Networks | KTH

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