Cover Image

Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lippmann, Philip, Yang, Jie
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Taxonomy-Guided Zero-Shot Recommendations with LLMs
by: Liang, Yueqing, et al.
Published: (2024)

Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search
by: Attimonelli, Matteo, et al.
Published: (2025)

SLIMER-IT: Zero-Shot NER on Italian Language
by: Zamai, Andrew, et al.
Published: (2024)

NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings
by: Shachar, Or, et al.
Published: (2025)

Semantic Novelty Trajectories in 80,000 Books: A Cross-Corpus Embedding Analysis
by: Zimmerman, Fred
Published: (2026)

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

GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation
by: Zhang, Zhonghui, et al.
Published: (2026)

A Representation Sharpening Framework for Zero Shot Dense Retrieval
by: Ashok, Dhananjay, et al.
Published: (2025)

Large Language Models are Zero-Shot Rankers for Recommender Systems
by: Hou, Yupeng, et al.
Published: (2023)

Zero-Shot Warning Generation for Misinformative Multimodal Content
by: Delvecchio, Giovanni Pio, et al.
Published: (2025)

Diffusion-Pretrained Dense and Contextual Embeddings
by: Eslami, Sedigheh, et al.
Published: (2026)

Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
by: Jedidi, Nour, et al.
Published: (2024)

A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
by: Wang, Zihan, et al.
Published: (2025)

Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
by: Chen, Shijie, et al.
Published: (2024)

Few-Shot and Training-Free Review Generation via Conversational Prompting
by: Kusano, Genki
Published: (2025)

ZSE-Cap: A Zero-Shot Ensemble for Image Retrieval and Prompt-Guided Captioning
by: Dinh, Duc-Tai, et al.
Published: (2025)

CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks
by: Li, Xiaoxi, et al.
Published: (2024)

Zero-Shot Multi-Label Classification of Bangla Documents: Large Decoders Vs. Classic Encoders
by: Sarkar, Souvika, et al.
Published: (2025)

Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5
by: Acharya, Arkadeep, et al.
Published: (2024)

Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning
by: Mo, Fengran, et al.
Published: (2026)

GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation
by: Dhole, Kaustubh, et al.
Published: (2024)

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

CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks
by: Guo, Jiafeng, et al.
Published: (2024)

ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval
by: Louis, Antoine, et al.
Published: (2024)

QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation
by: Min, Dehai, et al.
Published: (2025)

Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A Survey
by: Verma, Sourav
Published: (2024)

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

Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
by: Liu, Siyi, et al.
Published: (2024)

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
by: Du, Linfeng, et al.
Published: (2026)

On Synthetic Data Strategies for Domain-Specific Generative Retrieval
by: Wen, Haoyang, et al.
Published: (2025)

LEMUR: A Corpus for Robust Fine-Tuning of Multilingual Law Embedding Models for Retrieval
by: Ahmadi, Narges Baba, et al.
Published: (2026)

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

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

Investigating Task Arithmetic for Zero-Shot Information Retrieval
by: Braga, Marco, et al.
Published: (2025)

Description Boosting for Zero-Shot Entity and Relation Classification
by: Picco, Gabriele, et al.
Published: (2024)

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

Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval
by: Li, Yongkang, et al.
Published: (2025)

A Large-Scale, Cross-Disciplinary Corpus of Systematic Reviews
by: Achkar, Pierre, et al.
Published: (2026)

Constructing Cross-lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content
by: Chang, Chia-Hsuan, et al.
Published: (2022)

Scaling Knowledge Graph Construction through Synthetic Data Generation and Distillation
by: Choubey, Prafulla Kumar, et al.
Published: (2024)