Saved in:
| Main Authors: | Liao, Baohao, Kozielski, Michael, Hewavitharana, Sanjika, Yuan, Jiangbo, Khadivi, Shahram, Lancewicki, Tomer |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2311.02084 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Agentic AI for Human Resources: LLM-Driven Candidate Assessment
by: Yuksel, Kamer Ali, et al.
Published: (2026)
by: Yuksel, Kamer Ali, et al.
Published: (2026)
Information Discovery in e-Commerce
by: Ren, Zhaochun, et al.
Published: (2024)
by: Ren, Zhaochun, et al.
Published: (2024)
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
by: An, Ruize, et al.
Published: (2025)
by: An, Ruize, et al.
Published: (2025)
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Rethinking the Privacy of Text Embeddings: A Reproducibility Study of "Text Embeddings Reveal (Almost) As Much As Text"
by: Seputis, Dominykas, et al.
Published: (2025)
by: Seputis, Dominykas, et al.
Published: (2025)
Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
by: Chen, Ben, et al.
Published: (2024)
by: Chen, Ben, et al.
Published: (2024)
ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval
by: Chen, Jianlyu, et al.
Published: (2025)
by: Chen, Jianlyu, et al.
Published: (2025)
Domain Adaptation of Foundation LLMs for e-Commerce
by: Herold, Christian, et al.
Published: (2025)
by: Herold, Christian, et al.
Published: (2025)
Improving Text Embeddings with Large Language Models
by: Wang, Liang, et al.
Published: (2023)
by: Wang, Liang, et al.
Published: (2023)
ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text Embeddings
by: Kasmaee, Ali Shiraee, et al.
Published: (2025)
by: Kasmaee, Ali Shiraee, et al.
Published: (2025)
JFinTEB: Japanese Financial Text Embedding Benchmark
by: Suzuki, Masahiro, et al.
Published: (2026)
by: Suzuki, Masahiro, et al.
Published: (2026)
Text Embeddings by Weakly-Supervised Contrastive Pre-training
by: Wang, Liang, et al.
Published: (2022)
by: Wang, Liang, et al.
Published: (2022)
FinMTEB: Finance Massive Text Embedding Benchmark
by: Tang, Yixuan, et al.
Published: (2025)
by: Tang, Yixuan, et al.
Published: (2025)
Enhancing Lexicon-Based Text Embeddings with Large Language Models
by: Lei, Yibin, et al.
Published: (2025)
by: Lei, Yibin, et al.
Published: (2025)
Multilingual E5 Text Embeddings: A Technical Report
by: Wang, Liang, et al.
Published: (2024)
by: Wang, Liang, et al.
Published: (2024)
Vocabulary Customization for Efficient Domain-Specific LLM Deployment
by: Herold, Christian, et al.
Published: (2025)
by: Herold, Christian, et al.
Published: (2025)
Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks
by: Babakhin, Yauhen, et al.
Published: (2025)
by: Babakhin, Yauhen, et al.
Published: (2025)
Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs
by: Podstawski, Michal
Published: (2025)
by: Podstawski, Michal
Published: (2025)
Pooling and Semantic Shift: The Fundamental Challenges in Long Text Embedding and Retrieval
by: Gao, Hang, et al.
Published: (2026)
by: Gao, Hang, et al.
Published: (2026)
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens
by: Nie, Zhijie, et al.
Published: (2024)
by: Nie, Zhijie, et al.
Published: (2024)
TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding
by: Qiang, Minjie, et al.
Published: (2026)
by: Qiang, Minjie, et al.
Published: (2026)
Semantic Ads Retrieval at Walmart eCommerce with Language Models Progressively Trained on Multiple Knowledge Domains
by: Wang, Zhaodong, et al.
Published: (2025)
by: Wang, Zhaodong, et al.
Published: (2025)
Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling
by: Huang, Chao-Wei, et al.
Published: (2024)
by: Huang, Chao-Wei, et al.
Published: (2024)
Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models
by: Merrick, Luke, et al.
Published: (2024)
by: Merrick, Luke, et al.
Published: (2024)
Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning
by: Zhao, Gang, et al.
Published: (2024)
by: Zhao, Gang, et al.
Published: (2024)
Interpretable Text Embeddings and Text Similarity Explanation: A Survey
by: Opitz, Juri, et al.
Published: (2025)
by: Opitz, Juri, et al.
Published: (2025)
Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
by: Attimonelli, Matteo, et al.
Published: (2025)
by: Attimonelli, Matteo, et al.
Published: (2025)
Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data
by: Navasardyan, Zaruhi, et al.
Published: (2026)
by: Navasardyan, Zaruhi, et al.
Published: (2026)
MMTEB: Massive Multilingual Text Embedding Benchmark
by: Enevoldsen, Kenneth, et al.
Published: (2025)
by: Enevoldsen, Kenneth, et al.
Published: (2025)
Quantifying Positional Biases in Text Embedding Models
by: Lee, Reagan J., et al.
Published: (2024)
by: Lee, Reagan J., et al.
Published: (2024)
Identifying High Consideration E-Commerce Search Queries
by: Chen, Zhiyu, et al.
Published: (2024)
by: Chen, Zhiyu, et al.
Published: (2024)
Training Sparse Mixture Of Experts Text Embedding Models
by: Nussbaum, Zach, et al.
Published: (2025)
by: Nussbaum, Zach, et al.
Published: (2025)
EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline
by: Chen, Peter Baile, et al.
Published: (2025)
by: Chen, Peter Baile, et al.
Published: (2025)
TurkEmbed: Turkish Embedding Model on NLI & STS Tasks
by: Ezerceli, Özay, et al.
Published: (2025)
by: Ezerceli, Özay, et al.
Published: (2025)
LUMI: Unsupervised Intent Clustering with Multiple Pseudo-Labels
by: Lin, I-Fan, et al.
Published: (2025)
by: Lin, I-Fan, et al.
Published: (2025)
Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation
by: Qin, Jiangcheng, et al.
Published: (2025)
by: Qin, Jiangcheng, et al.
Published: (2025)
Bagging-Based Model Merging for Robust General Text Embeddings
by: Zhang, Hengran, et al.
Published: (2026)
by: Zhang, Hengran, et al.
Published: (2026)
FaMTEB: Massive Text Embedding Benchmark in Persian Language
by: Zinvandi, Erfan, et al.
Published: (2025)
by: Zinvandi, Erfan, et al.
Published: (2025)
Granite Embedding Models
by: Awasthy, Parul, et al.
Published: (2025)
by: Awasthy, Parul, et al.
Published: (2025)
Similar Items
-
Agentic AI for Human Resources: LLM-Driven Candidate Assessment
by: Yuksel, Kamer Ali, et al.
Published: (2026) -
Information Discovery in e-Commerce
by: Ren, Zhaochun, et al.
Published: (2024) -
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation
by: Liao, Baohao, et al.
Published: (2024) -
Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
by: An, Ruize, et al.
Published: (2025) -
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
by: Liao, Baohao, et al.
Published: (2024)