Hallucination Mitigation in Large Language Model-Based Tool Recommendation: A Cross-Provider Architectural Ablation Study Across Two Model Generations
Menxhiqi L; Marinova G · 2026 · Preprint
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
In a closed-inventory Large Language Model (LLM) system such as Online-CADCOM, which recommends engineering tools from a verified inventory, mention-level hallucination occurs when the model recommends tools not present in the inventory.…
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Metadata source: Europe PMC · DOI 10.20944/preprints202606.0008.v1