Copertina

Enhancing Lexicon-Based Text Embeddings with Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lei, Yibin, Shen, Tao, Cao, Yu, Yates, Andrew
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

Corpus-Steered Query Expansion with Large Language Models
di: Lei, Yibin, et al.
Pubblicazione: (2024)

ThinkQE: Query Expansion via an Evolving Thinking Process
di: Lei, Yibin, et al.
Pubblicazione: (2025)

Making Large Language Models Efficient Dense Retrievers
di: Lei, Yibin, et al.
Pubblicazione: (2025)

Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector
di: Nguyen, Thong, et al.
Pubblicazione: (2025)

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

On Bilingual Lexicon Induction with Large Language Models
di: Li, Yaoyiran, et al.
Pubblicazione: (2023)

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

Enhancing Answer Attribution for Faithful Text Generation with Large Language Models
di: Vladika, Juraj, et al.
Pubblicazione: (2024)

SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models
di: Nguyen, Thong, et al.
Pubblicazione: (2025)

Enhance Graph Alignment for Large Language Models
di: Luo, Haitong, et al.
Pubblicazione: (2024)

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

Enhancing Content-based Recommendation via Large Language Model
di: Xu, Wentao, et al.
Pubblicazione: (2024)

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

When Text Embedding Meets Large Language Model: A Comprehensive Survey
di: Nie, Zhijie, et al.
Pubblicazione: (2024)

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

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
di: Chen, Zhongpu, 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)

MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation
di: Qin, Weicong, et al.
Pubblicazione: (2024)

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)

Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems
di: Roy, Soham, et al.
Pubblicazione: (2025)

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities
di: Huang, Yiming, et al.
Pubblicazione: (2025)

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

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

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training
di: Ma, Haokai, et al.
Pubblicazione: (2025)

Bagging-Based Model Merging for Robust General Text Embeddings
di: Zhang, Hengran, et al.
Pubblicazione: (2026)

EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
di: Zhang, Chiyu, et al.
Pubblicazione: (2024)

Can Large Language Models Detect Rumors on Social Media?
di: Liu, Qiang, et al.
Pubblicazione: (2024)

Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data
di: Navasardyan, Zaruhi, et al.
Pubblicazione: (2026)

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)

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

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
di: Qin, Zhen, et al.
Pubblicazione: (2023)

LLM-as-classifier: Semi-Supervised, Iterative Framework for Hierarchical Text Classification using Large Language Models
di: You, Doohee, et al.
Pubblicazione: (2025)

Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
di: Chun, Yongchan, et al.
Pubblicazione: (2025)

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

Multilingual E5 Text Embeddings: A Technical Report
di: Wang, Liang, et al.
Pubblicazione: (2024)

PRE: A Peer Review Based Large Language Model Evaluator
di: Chu, Zhumin, et al.
Pubblicazione: (2024)

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models
di: Lin, Jianghao, et al.
Pubblicazione: (2025)

Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
di: Cao, Bin, et al.
Pubblicazione: (2026)