Cover Image

Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Zheng, Li, Chaofan, Xiao, Shitao, Shao, Yingxia, Lian, Defu
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width
by: Liu, Zheng, et al.
Published: (2025)

Reinforced Information Retrieval
by: Li, Chaofan, et al.
Published: (2025)

Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation
by: Liu, Zheng, et al.
Published: (2024)

Making Text Embedders Few-Shot Learners
by: Li, Chaofan, et al.
Published: (2024)

AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark
by: Chen, Jianlyu, et al.
Published: (2024)

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
by: Luo, Kun, et al.
Published: (2024)

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

Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization
by: Shao, Ninglu, et al.
Published: (2024)

Extending Llama-3's Context Ten-Fold Overnight
by: Zhang, Peitian, et al.
Published: (2024)

BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
by: Luo, Kun, et al.
Published: (2024)

Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
by: Lan, Junwei, et al.
Published: (2025)

DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models
by: Zeng, Yuanhao, et al.
Published: (2024)

O1 Embedder: Let Retrievers Think Before Action
by: Yan, Ruiran, et al.
Published: (2025)

Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
by: Li, Chaofan, et al.
Published: (2025)

MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
by: Zhou, Junjie, et al.
Published: (2024)

Understanding and Mitigating the Threat of Vec2Text to Dense Retrieval Systems
by: Zhuang, Shengyao, et al.
Published: (2024)

M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
by: Chen, Jianlv, et al.
Published: (2024)

FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
by: Hong, Yubin, et al.
Published: (2025)

Understanding Privacy Risks of Embeddings Induced by Large Language Models
by: Zhu, Zhihao, et al.
Published: (2024)

C-Pack: Packed Resources For General Chinese Embeddings
by: Xiao, Shitao, et al.
Published: (2023)

AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation
by: Meng, Rui, et al.
Published: (2022)

Token-Efficient Leverage Learning in Large Language Models
by: Zeng, Yuanhao, et al.
Published: (2024)

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval
by: Liu, Ze, et al.
Published: (2025)

Extensible Embedding: A Flexible Multipler For LLM's Context Length
by: Shao, Ninglu, et al.
Published: (2024)

DenseLoRA: Dense Low-Rank Adaptation of Large Language Models
by: Mu, Lin, et al.
Published: (2025)

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
by: Mao, Kelong, et al.
Published: (2024)

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

LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
by: Hu, Linmei, et al.
Published: (2024)

LLM2Vec-Gen: Generative Embeddings from Large Language Models
by: BehnamGhader, Parishad, et al.
Published: (2026)

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
by: Qi, Liu, et al.
Published: (2024)

SinLlama -- A Large Language Model for Sinhala
by: Aravinda, H. W. K., et al.
Published: (2025)

Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors
by: Li, Guanghua, et al.
Published: (2024)

VecGlypher: Unified Vector Glyph Generation with Language Models
by: Huang, Xiaoke, et al.
Published: (2026)

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
by: BehnamGhader, Parishad, et al.
Published: (2024)

Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models
by: Li, Zhaoyi, et al.
Published: (2026)

VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval
by: Zhou, Junjie, et al.
Published: (2024)

DeepXiv-SDK: An Agentic Data Interface for Scientific Literature
by: Qian, Hongjin, et al.
Published: (2026)

Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
by: Li, Yongkang, et al.
Published: (2025)

Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling
by: Huang, Chao-Wei, et al.
Published: (2024)

GT2Vec: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data
by: Lin, Jiacheng, et al.
Published: (2024)