Imagen de Portada

Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Weller, Orion, Van Durme, Benjamin, Lawrie, Dawn, Paranjape, Ashwin, Zhang, Yuhao, Hessel, Jack
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

NevIR: Negation in Neural Information Retrieval
por: Weller, Orion, et al.
Publicado: (2023)

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
por: Weller, Orion, et al.
Publicado: (2024)

Rank1: Test-Time Compute for Reranking in Information Retrieval
por: Weller, Orion, et al.
Publicado: (2025)

mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
por: Marone, Marc, et al.
Publicado: (2025)

Seq vs Seq: An Open Suite of Paired Encoders and Decoders
por: Weller, Orion, et al.
Publicado: (2025)

mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval
por: Weller, Orion, et al.
Publicado: (2025)

Defending Against Disinformation Attacks in Open-Domain Question Answering
por: Weller, Orion, et al.
Publicado: (2022)

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
por: Weller, Orion, et al.
Publicado: (2023)

Rank-K: Test-Time Reasoning for Listwise Reranking
por: Yang, Eugene, et al.
Publicado: (2025)

On the Theoretical Limitations of Embedding-Based Retrieval
por: Weller, Orion, et al.
Publicado: (2025)

RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation
por: Fleshman, William, et al.
Publicado: (2024)

HLTCOE at TREC 2024 NeuCLIR Track
por: Yang, Eugene, et al.
Publicado: (2025)

Language Fairness in Multilingual Information Retrieval
por: Yang, Eugene, et al.
Publicado: (2024)

Distillation for Multilingual Information Retrieval
por: Yang, Eugene, et al.
Publicado: (2024)

HLTCOE at LiveRAG: GPT-Researcher using ColBERT retrieval
por: Duh, Kevin, et al.
Publicado: (2025)

Multi-Field Adaptive Retrieval
por: Li, Millicent, et al.
Publicado: (2024)

"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
por: Weller, Orion, et al.
Publicado: (2023)

Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation
por: Yang, Eugene, et al.
Publicado: (2024)

Extending Translate-Train for ColBERT-X to African Language CLIR
por: Yang, Eugene, et al.
Publicado: (2024)

PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval
por: Lawrie, Dawn, et al.
Publicado: (2024)

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage
por: Samuel, Saron, et al.
Publicado: (2026)

HLTCOE at TREC 2023 NeuCLIR Track
por: Yang, Eugene, et al.
Publicado: (2024)

Beyond RAG: Task-Aware KV Cache Compression for Comprehensive Knowledge Reasoning
por: Corallo, Giulio, et al.
Publicado: (2025)

Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval
por: Ji, Luo, et al.
Publicado: (2024)

Optimizing Multi-Stage Language Models for Effective Text Retrieval
por: Trung, Quang Hoang, et al.
Publicado: (2024)

On the Evaluation of Machine-Generated Reports
por: Mayfield, James, et al.
Publicado: (2024)

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
por: Peng, Zhiyuan, et al.
Publicado: (2023)

Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model
por: Sinhababu, Nilanjan, et al.
Publicado: (2024)

CoverageBench: Evaluating Information Coverage across Tasks and Domains
por: Samuel, Saron, et al.
Publicado: (2026)

Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions
por: Yang, Lixiao, et al.
Publicado: (2024)

Dated Data: Tracing Knowledge Cutoffs in Large Language Models
por: Cheng, Jeffrey, et al.
Publicado: (2024)

Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
por: Sinha, Aarush
Publicado: (2025)

Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels
por: Xian, Jasper, et al.
Publicado: (2024)

Accelerating Retrieval-Augmented Language Model Serving with Speculation
por: Zhang, Zhihao, et al.
Publicado: (2024)

Can Small Language Models be Good Reasoners for Sequential Recommendation?
por: Wang, Yuling, et al.
Publicado: (2024)

RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation
por: Yang, Eugene, et al.
Publicado: (2026)

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

MURR: Model Updating with Regularized Replay for Searching a Document Stream
por: Yang, Eugene, et al.
Publicado: (2025)

Auto-ARGUE: LLM-Based Report Generation Evaluation
por: Walden, William, et al.
Publicado: (2025)

Overview of the TREC 2025 RAGTIME Track
por: Lawrie, Dawn, et al.
Publicado: (2026)