RAG-Stress: Probing the Limits of Evidence Reliance in Retrieval-Augmented Generation

arXiv:2610.11183 · cs.CL, cs.AI · Submitted 2026-10-08 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Accuracy — 46× in this paper · explained in 1 episode
• RAG — 26× in this paper · explained in 3 episodes
• Robustness — 10× in this paper · explained in 5 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Benchmarking — 5× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Grounding — 4× in this paper · explained in 3 episodes
• Attention Mechanism — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Quantization — 2× in this paper · explained in 12 episodes
• Abstention — 1× in this paper · explained in 1 episode
• Agentic Search — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Reward Shaping — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• ToolForge: A Data Synthesis Pipeline for Multi-Hop Search without Real-World APIs
• Benchmarking Large Language Models in Retrieval-Augmented Generation
• REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
• SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
• Retrieval-Augmented Generation for Large Language Models: A Survey
• The Llama 3 Herd of Models
• LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services
• CheckerBench: Can Long-Horizon Agents Synthesize Static-Analysis Checkers?
• VistaHop: Benchmarking Long-Horizon Visual DeepSearch
• Mistral 7B
• Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
• What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams
• RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge
• MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
• ZeroSearch: Incentivize the Search Capability of LLMs without Searching
• Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
• Benchmarking Retrieval-Augmented Generation for Medicine
• Qwen3 Technical Report
• RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems

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