TRIS: A Tri-Layer Retrieval Integrity Sieve Against Knowledge Poisoning

arXiv:2609.00470 · cs.CL, cs.CR, cs.IR · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.CR, cs.IR

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/akibjawad14/tris

Terminology

• Accuracy — 15× in this paper · explained in 1 episode
• RAG — 15× in this paper · explained in 3 episodes
• Consistency — 13× in this paper · explained in 3 episodes
• Robustness — 11× in this paper · explained in 5 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Retrieval-Augmented Generation — 9× in this paper
• Verification — 8× in this paper · explained in 2 episodes
• Verifier — 8× in this paper · explained in 2 episodes
• Aggregation — 6× in this paper · explained in 1 episode
• Adaptivity — 5× in this paper · explained in 1 episode
• Clustering — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 3× in this paper
• Embeddings — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Perplexity — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adversarial Examples — 1× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Steering — 1× in this paper · explained in 2 episodes

Sources

• MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
• TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models
• Defending Against Knowledge Poisoning Attacks During Retrieval-Augmented Generation
• Retrieval-Augmented Generation for Large Language Models: A Survey
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• Certifiably Robust RAG against Retrieval Corruption
• Benchmarking Poisoning Attacks against Retrieval-Augmented Generation
• TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

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