A taxonomy-guided RAG system with LLMs reduces hallucinations and improves migration suggestions for Qiskit code compared to unconstrained retrieval.
Mind your tone: Investigating how prompt politeness affects llm accuracy (short paper)
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
Legal AI benchmarks must evaluate robustness to pro se litigant inputs rather than expert-preprocessed ones to support access-to-justice claims.
Toxic prompt perturbations reduce LLM factual accuracy on three benchmarks and selectively amplify perturbation-sensitive nodes in attribution graphs.
The GPT family has shifted from scaled text predictors to aligned multimodal tool-oriented systems, with persistent limitations like hallucination and prompt sensitivity remaining unchanged.
citing papers explorer
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From GPT-3 to GPT-5: Mapping their capabilities, scope, limitations, and consequences
The GPT family has shifted from scaled text predictors to aligned multimodal tool-oriented systems, with persistent limitations like hallucination and prompt sensitivity remaining unchanged.