Three-stage agentic review pipeline with semantic caching reduces Total Hallucination Score by 31-36% and LLM calls by 47% on a custom 310-prompt benchmark.
Uncertaintyquantificationforlanguagemodels: A suite of black-box, white-box, llm judge, and ensemble scorers.https://arxiv.org/abs/ 2504.19254, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
Three-stage agentic review pipeline with semantic caching reduces Total Hallucination Score by 31-36% and LLM calls by 47% on a custom 310-prompt benchmark.