Select-And-Extract: A Lightweight Plugin for Retrieval-Augmented Generation

arXiv:2608.00658 · cs.CL · Submitted 2026-08-01 · Read on arXiv

Chenming Tang, Jiawei Han

cs.CL

Submitted: 2026-08-01

Comments: Pre-print

Code: https://github.com/JamyDon/SANE

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

Terminology

• RAG — 43× in this paper · explained in 3 episodes
• Benchmark — 24× in this paper · explained in 2 episodes
• Generator — 13× in this paper · explained in 2 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Hyperparameters — 6× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Failure Modes — 4× in this paper · explained in 3 episodes
• Knowledge Graph — 4× in this paper · explained in 8 episodes
• Retrieval-Augmented Generation (RAG) — 3× in this paper · explained in 21 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Ablation Study — 2× in this paper · explained in 3 episodes
• Augmentation — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 14 episodes
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Continual Learning — 1× in this paper · explained in 3 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 8 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 13 episodes

Sources

• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Retrieval-Augmented Generation for Large Language Models: A Survey
• FinanceBench: A New Benchmark for Financial Question Answering
• SLIDERS: Systematic Reviews via Automated Evidence Synthesis and Reconciliation
• Zero-Shot Listwise Document Reranking with a Large Language Model
• Document Expansion by Query Prediction
• Structure-Augmented Reasoning Generation
• RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models
• RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!
• Direct Preference Optimization: Your Language Model is Secretly a Reward Model
• CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
• Qwen3 Technical Report
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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