Finding the Right Balance: Relevance and Diversity in LLM Retrieval
cs.IR, cs.CL
Submitted: 2026-10-07
Updated: 2026-10-07
Comments: 36 pages, 8 figures, 13 tables. Code and results: https://github.com/GuillaumeBrouillette/finding-the-right-balance
Code: https://github.com/GuillaumeBrouillette/finding-the-right-balance
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- From BM25 to Corrective RAG: Benchmarking Retrieval Strategies for Text-and-Table Documents
- Benchmarking Retrieval Strategies for Biomedical Retrieval-Augmented Generation: A Controlled Empirical Study
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
- ARAGOG: Advanced RAG Output Grading
- DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking
- SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval
- Principled and Scalable Diversity-Aware Retrieval via Cardinality-Constrained Binary Quadratic Programming
- From Ranking to Selection: A Simple but Efficient Dynamic Passage Selector for Retrieval Augmented Generation
- Passage Re-ranking with BERT
- AdaGReS:Adaptive Greedy Context Selection via Redundancy-Aware Scoring for Token-Budgeted RAG
- Better RAG using Relevant Information Gain
- Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs
- Byte-Exact Deduplication in Retrieval-Augmented Generation: A Three-Regime Empirical Analysis Across Public Benchmarks
- Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers
- Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
- Retriever Portfolios: A Principled Approach to Adaptive RAG
- Scaling DPPs for RAG: Density Meets Diversity
- Diversity Enhances an LLM's Performance in RAG and Long-context Task
- Cluster-based Adaptive Retrieval: Dynamic Context Selection for RAG Applications
- Corrective Retrieval Augmented Generation
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