Mitigating Fabrication in Multi-Stage LLM Pipelines for Hiring: An Empirical Evaluation of Prompt Guardrails and Human-in-the-Loop Checkpoints

arXiv:2608.26171 · cs.CY, cs.CL, cs.HC · Submitted 2026-07-22 · Read on arXiv

cs.CY, cs.CL, cs.HC

Submitted: 2026-07-22

Updated: 2026-09-16

Comments: 13 pages, 2 figures

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

Terminology

• Hallucination — 9× in this paper · explained in 3 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Human-in-the-Loop — 6× in this paper · explained in 3 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• LLM judge — 3× in this paper · explained in 2 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Conformal Prediction — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes

Sources

• A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
• Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
• Large Language Models Hallucination: A Comprehensive Survey
• From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration
• Hallucination Cascade: Analyzing Error Propagation in Multi-Agent LLM Systems
• PASC: Pipeline-Aware Conformal Prediction with Joint Coverage Guarantees for Multi-Stage NLP and LLM Pipelines
• (Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable
• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
• NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
• Self-Preference Bias in LLM-as-a-Judge
• Self-Preference Bias in Rubric-Based Evaluation of Large Language Models
• Quantifying and Mitigating Self-Preference Bias of LLM Judges
• ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement

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