Feedback-Assisted Trust Propagation over Document Relation Graphs for Retrieval-Augmented Generation

arXiv:2609.00543 · cs.AI · Submitted 2026-09-01 · Read on arXiv

cs.AI

Submitted: 2026-09-01

Updated: 2026-09-01

Code: https://github.com/zhliOvO/TrustPropRAG

Terminology

• RAG — 27× in this paper · explained in 3 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Graph Construction — 7× in this paper · explained in 3 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Robustness — 5× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• Objective Function — 2× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Semi-supervised Learning — 2× in this paper · explained in 4 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Natural Language Inference (NLI) — 1× in this paper · explained in 2 episodes
• Quadratic Programming (QP) — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Thirteenth International Conference on Learning Representations — 1× in this paper

Sources

• Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Certifiably Robust RAG against Retrieval Corruption
• NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
• OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation
• TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

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