Cover Image

Shifting from Ranking to Set Selection for Retrieval Augmented Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Dahyun, Jo, Yongrae, Park, Haeju, Lee, Moontae
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

Typed-RAG: Type-Aware Decomposition of Non-Factoid Questions for Retrieval-Augmented Generation
by: Lee, DongGeon, et al.
Published: (2025)

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
by: Abdallah, Abdelrahman, et al.
Published: (2025)

GLEN: Generative Retrieval via Lexical Index Learning
by: Lee, Sunkyung, et al.
Published: (2023)

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge
by: Fensore, Chase, et al.
Published: (2025)

Evaluating Retrieval Quality in Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2024)

Beyond Ranked Lists: The SARAL Framework for Cross-Lingual Document Set Retrieval
by: Agarwal, Shantanu, et al.
Published: (2025)

Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection
by: Weng, Yan, et al.
Published: (2025)

Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)

Parametric Retrieval Augmented Generation
by: Su, Weihang, et al.
Published: (2025)

Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization
by: Salemi, Alireza, et al.
Published: (2024)

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
by: Kim, To Eun, et al.
Published: (2024)

GeAR: Generation Augmented Retrieval
by: Liu, Haoyu, et al.
Published: (2025)

Dynamic and Parametric Retrieval-Augmented Generation
by: Su, Weihang, et al.
Published: (2025)

RARe: Retrieval Augmented Retrieval with In-Context Examples
by: Tejaswi, Atula, et al.
Published: (2024)

Adaptive Retrieval-Augmented Generation for Conversational Systems
by: Wang, Xi, et al.
Published: (2024)

Loops On Retrieval Augmented Generation (LoRAG)
by: Thakur, Ayush, et al.
Published: (2024)

Exploring Selective Retrieval-Augmentation for Long-Tail Legal Text Classification
by: Mao, Boheng
Published: (2025)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
by: Yu, Yue, et al.
Published: (2024)

Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation
by: Shi, Teng, et al.
Published: (2025)

Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
by: Salemi, Alireza, et al.
Published: (2024)

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking
by: Feng, Jun, et al.
Published: (2026)

Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
by: Lee, Juhyeon, et al.
Published: (2025)

Understanding Parametric Knowledge Injection in Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025)

Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented Generation
by: Salemi, Alireza, et al.
Published: (2025)

BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
by: Rau, David, et al.
Published: (2024)

From Retrieval to Generation: Efficient and Effective Entity Set Expansion
by: Huang, Shulin, et al.
Published: (2023)

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
by: Shi, Zhengliang, et al.
Published: (2024)

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
by: Tu, Yiteng, et al.
Published: (2025)

From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines
by: Lee, Sunkyung, et al.
Published: (2026)

Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
by: Ge, Ziyu, et al.
Published: (2025)

Enhancing Time Awareness in Generative Recommendation
by: Lee, Sunkyung, et al.
Published: (2025)

LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation
by: Kim, Chaeeun, et al.
Published: (2025)

Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
by: Rashiti, Gentiana, et al.
Published: (2024)

LTRR: Learning To Rank Retrievers for LLMs
by: Kim, To Eun, et al.
Published: (2025)

CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation
by: Wang, Nengbo, et al.
Published: (2025)

Federated Retrieval-Augmented Generation: A Systematic Mapping Study
by: Chakraborty, Abhijit, et al.
Published: (2025)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
by: Chang, Chia-Yuan, et al.
Published: (2024)

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation
by: Guttal, Pooja, et al.
Published: (2026)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
by: Cheng, Yiruo, et al.
Published: (2024)

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
by: Xu, Yongxin, et al.
Published: (2024)