Copertina

TurkEmbed: Turkish Embedding Model on NLI & STS Tasks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ezerceli, Özay, Gümüşçekiçci, Gizem, Erkoç, Tuğba, Özenç, Berke
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

TurkEmbed4Retrieval: Turkish Embedding Model for Retrieval Task
di: Ezerceli, Özay, et al.
Pubblicazione: (2025)

TurkColBERT: A Benchmark of Dense and Late-Interaction Models for Turkish Information Retrieval
di: Ezerceli, Özay, et al.
Pubblicazione: (2025)

Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks
di: Babakhin, Yauhen, et al.
Pubblicazione: (2025)

Granite Embedding Models
di: Awasthy, Parul, et al.
Pubblicazione: (2025)

Beyond One-Size-Fits-All: Multi-Domain, Multi-Task Framework for Embedding Model Selection
di: Khetan, Vivek
Pubblicazione: (2024)

Granite Embedding R2 Models
di: Awasthy, Parul, et al.
Pubblicazione: (2025)

TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding
di: Qiang, Minjie, et al.
Pubblicazione: (2026)

ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval
di: Chen, Jianlyu, et al.
Pubblicazione: (2025)

Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications
di: Taş, Selva, et al.
Pubblicazione: (2025)

Improving Text Embeddings with Large Language Models
di: Wang, Liang, et al.
Pubblicazione: (2023)

ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text Embeddings
di: Kasmaee, Ali Shiraee, et al.
Pubblicazione: (2025)

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models
di: Merrick, Luke, et al.
Pubblicazione: (2024)

Enhancing Lexicon-Based Text Embeddings with Large Language Models
di: Lei, Yibin, et al.
Pubblicazione: (2025)

Rethinking the Privacy of Text Embeddings: A Reproducibility Study of "Text Embeddings Reveal (Almost) As Much As Text"
di: Seputis, Dominykas, et al.
Pubblicazione: (2025)

Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications
di: Khanna, Sujit, et al.
Pubblicazione: (2024)

Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs
di: Podstawski, Michal
Pubblicazione: (2025)

Pooling And Attention: What Are Effective Designs For LLM-Based Embedding Models?
di: Tang, Yixuan, et al.
Pubblicazione: (2024)

One prompt is not enough: Instruction Sensitivity Undermines Embedding Model Evaluation
di: Kostiuk, Yevhen, et al.
Pubblicazione: (2026)

Do We Need Domain-Specific Embedding Models? An Empirical Investigation
di: Tang, Yixuan, et al.
Pubblicazione: (2024)

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
di: Liu, Qi, et al.
Pubblicazione: (2024)

Context Embeddings for Efficient Answer Generation in RAG
di: Rau, David, et al.
Pubblicazione: (2024)

Location Sensitive Embedding for Knowledge Graph Reasoning
di: Banerjee, Deepak, et al.
Pubblicazione: (2023)

EncodeRec: An Embedding Backbone for Recommendation Systems
di: Hadad, Guy, et al.
Pubblicazione: (2026)

LMK > CLS: Landmark Pooling for Dense Embeddings
di: Doshi, Meet, et al.
Pubblicazione: (2026)

MedEIR: A Specialized Medical Embedding Model for Enhanced Information Retrieval
di: Selvadurai, Anand, et al.
Pubblicazione: (2025)

Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval
di: Coelho, João, et al.
Pubblicazione: (2024)

Task-Adaptive Embedding Refinement via Test-time LLM Guidance
di: Gera, Ariel, et al.
Pubblicazione: (2026)

LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
di: Man, Hieu, et al.
Pubblicazione: (2025)

Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval
di: Wei, Yubai, et al.
Pubblicazione: (2025)

Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
di: Zhukova, Anastasia, et al.
Pubblicazione: (2025)

ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning
di: Man, Hieu, et al.
Pubblicazione: (2024)

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
di: Liu, Qidong, et al.
Pubblicazione: (2024)

Can Cross Encoders Produce Useful Sentence Embeddings?
di: Ananthakrishnan, Haritha, et al.
Pubblicazione: (2025)

FinMTEB: Finance Massive Text Embedding Benchmark
di: Tang, Yixuan, et al.
Pubblicazione: (2025)

JFinTEB: Japanese Financial Text Embedding Benchmark
di: Suzuki, Masahiro, et al.
Pubblicazione: (2026)

EmbeddingRWKV: State-Centric Retrieval with Reusable States
di: Hou, Haowen, et al.
Pubblicazione: (2026)

Text Embeddings by Weakly-Supervised Contrastive Pre-training
di: Wang, Liang, et al.
Pubblicazione: (2022)

Bridging Textual Profiles and Latent User Embeddings for Personalization
di: Tan, Zhaoxuan, et al.
Pubblicazione: (2026)

REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models
di: Gupta, Ambuje, et al.
Pubblicazione: (2024)

Are Word Embedding Methods Stable and Should We Care About It?
di: Borah, Angana, et al.
Pubblicazione: (2021)