ORDER: Task-Conditioned Routing for Retrieval-Augmented Generation

arXiv:2609.17012 · cs.AI · Submitted 2026-09-15 · Read on arXiv

cs.AI

Submitted: 2026-09-15

Updated: 2026-09-15

Code: https://github.com/atomegoyan/ORDER_

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• RAG — 33× in this paper · explained in 3 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Benchmark — 14× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation — 11× in this paper
• Embeddings — 9× in this paper · explained in 2 episodes
• AGN — 6× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Failure Modes — 4× in this paper · explained in 3 episodes
• Clustering — 3× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 3× in this paper · explained in 16 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Allocator — 2× in this paper · explained in 1 episode
• Commentary — 2× in this paper · explained in 2 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• Multi-hop Reasoning — 2× in this paper · explained in 3 episodes
• Optimal Routing for Dynamic Evidence Retrieval — 2× in this paper
• Provenance — 2× in this paper · explained in 4 episodes
• Uniform Multi-source Sampler — 2× in this paper
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptivity — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Drift — 1× in this paper · explained in 3 episodes

Sources

• Retrieval-Augmented Generation for Large Language Models: A Survey
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
• Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
• DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
• MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System
• LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora

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