How important is Recall for Measuring Retrieval Quality?
Fuente:
arXiv
Guardado en:
| Autores principales: | Schwartz, Shelly, Vasilyev, Oleg, Sawaya, Randy |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Preserving Multilingual Quality While Tuning Query Encoder on English Only
por: Vasilyev, Oleg, et al.
Publicado: (2024)
por: Vasilyev, Oleg, et al.
Publicado: (2024)
Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long Documents
por: Singhania, Sneha, et al.
Publicado: (2024)
por: Singhania, Sneha, et al.
Publicado: (2024)
Evaluating Retrieval Quality in Retrieval-Augmented Generation
por: Salemi, Alireza, et al.
Publicado: (2024)
por: Salemi, Alireza, et al.
Publicado: (2024)
Measuring and Addressing Indexical Bias in Information Retrieval
por: Ziems, Caleb, et al.
Publicado: (2024)
por: Ziems, Caleb, et al.
Publicado: (2024)
Vector Retrieval with Similarity and Diversity: How Hard Is It?
por: Gao, Hang, et al.
Publicado: (2024)
por: Gao, Hang, et al.
Publicado: (2024)
The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
por: Pradeep, Ronak, et al.
Publicado: (2025)
por: Pradeep, Ronak, et al.
Publicado: (2025)
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
por: Suresh, Tarun, et al.
Publicado: (2024)
por: Suresh, Tarun, et al.
Publicado: (2024)
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
por: Mo, Fengran, et al.
Publicado: (2024)
por: Mo, Fengran, et al.
Publicado: (2024)
How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
por: Huang, Wei, et al.
Publicado: (2025)
por: Huang, Wei, et al.
Publicado: (2025)
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval
por: Coelho, João, et al.
Publicado: (2024)
por: Coelho, João, et al.
Publicado: (2024)
Semantic Certainty Assessment in Vector Retrieval Systems: A Novel Framework for Embedding Quality Evaluation
por: Du, Y.
Publicado: (2025)
por: Du, Y.
Publicado: (2025)
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching
por: Xu, Nuo, et al.
Publicado: (2025)
por: Xu, Nuo, et al.
Publicado: (2025)
Dense Passage Retrieval: Is it Retrieving?
por: Reichman, Benjamin, et al.
Publicado: (2024)
por: Reichman, Benjamin, et al.
Publicado: (2024)
Cohort Retrieval using Dense Passage Retrieval
por: Jadhav, Pranav
Publicado: (2025)
por: Jadhav, Pranav
Publicado: (2025)
LongRecall: A Structured Approach for Robust Recall Evaluation in Long-Form Text
por: Ardestani, MohamamdJavad, et al.
Publicado: (2025)
por: Ardestani, MohamamdJavad, et al.
Publicado: (2025)
RVR: Retrieve-Verify-Retrieve for Comprehensive Question Answering
por: Qian, Deniz, et al.
Publicado: (2026)
por: Qian, Deniz, et al.
Publicado: (2026)
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
por: Lee, Jinhyuk, et al.
Publicado: (2023)
por: Lee, Jinhyuk, et al.
Publicado: (2023)
Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
por: Feng, Tao, et al.
Publicado: (2026)
por: Feng, Tao, et al.
Publicado: (2026)
When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively
por: Labruna, Tiziano, et al.
Publicado: (2024)
por: Labruna, Tiziano, et al.
Publicado: (2024)
Microstructures and Accuracy of Graph Recall by Large Language Models
por: Wang, Yanbang, et al.
Publicado: (2024)
por: Wang, Yanbang, et al.
Publicado: (2024)
Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
por: Hashemi, Helia, et al.
Publicado: (2025)
por: Hashemi, Helia, et al.
Publicado: (2025)
Silver Retriever: Advancing Neural Passage Retrieval for Polish Question Answering
por: Rybak, Piotr, et al.
Publicado: (2023)
por: Rybak, Piotr, et al.
Publicado: (2023)
Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
por: Sinha, Aarush
Publicado: (2025)
por: Sinha, Aarush
Publicado: (2025)
Controlling Authority Retrieval: A Missing Retrieval Objective for Authority-Governed Knowledge
por: Bacellar, Andre
Publicado: (2026)
por: Bacellar, Andre
Publicado: (2026)
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
por: Zhao, Yilun, et al.
Publicado: (2026)
por: Zhao, Yilun, et al.
Publicado: (2026)
Long document summarization using page specific target text alignment and distilling page importance
por: Devi, Pushpa, et al.
Publicado: (2025)
por: Devi, Pushpa, et al.
Publicado: (2025)
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
por: Tu, Yiteng, et al.
Publicado: (2025)
por: Tu, Yiteng, et al.
Publicado: (2025)
RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
por: Nguyen, Long, et al.
Publicado: (2025)
por: Nguyen, Long, et al.
Publicado: (2025)
TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)
por: Abdallah, Abdelrahman, et al.
Publicado: (2025)
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
por: Mao, Kelong, et al.
Publicado: (2024)
por: Mao, Kelong, et al.
Publicado: (2024)
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval
por: Wang, Hongru, et al.
Publicado: (2024)
por: Wang, Hongru, et al.
Publicado: (2024)
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning
por: Niu, Cheng, et al.
Publicado: (2024)
por: Niu, Cheng, et al.
Publicado: (2024)
Chain-of-Retrieval Augmented Generation
por: Wang, Liang, et al.
Publicado: (2025)
por: Wang, Liang, et al.
Publicado: (2025)
Hierarchical Semantic Retrieval with Cobweb
por: Gupta, Anant, et al.
Publicado: (2025)
por: Gupta, Anant, et al.
Publicado: (2025)
Parametric Retrieval Augmented Generation
por: Su, Weihang, et al.
Publicado: (2025)
por: Su, Weihang, et al.
Publicado: (2025)
Distillation for Multilingual Information Retrieval
por: Yang, Eugene, et al.
Publicado: (2024)
por: Yang, Eugene, et al.
Publicado: (2024)
Scaling Laws For Dense Retrieval
por: Fang, Yan, et al.
Publicado: (2024)
por: Fang, Yan, et al.
Publicado: (2024)
Backtracing: Retrieving the Cause of the Query
por: Wang, Rose E., et al.
Publicado: (2024)
por: Wang, Rose E., et al.
Publicado: (2024)
Multi-Field Tool Retrieval
por: Tang, Yichen, et al.
Publicado: (2026)
por: Tang, Yichen, et al.
Publicado: (2026)
Ejemplares similares
-
Preserving Multilingual Quality While Tuning Query Encoder on English Only
por: Vasilyev, Oleg, et al.
Publicado: (2024) -
Recall Them All: Retrieval-Augmented Language Models for Long Object List Extraction from Long Documents
por: Singhania, Sneha, et al.
Publicado: (2024) -
Evaluating Retrieval Quality in Retrieval-Augmented Generation
por: Salemi, Alireza, et al.
Publicado: (2024) -
Measuring and Addressing Indexical Bias in Information Retrieval
por: Ziems, Caleb, et al.
Publicado: (2024) -
Vector Retrieval with Similarity and Diversity: How Hard Is It?
por: Gao, Hang, et al.
Publicado: (2024)