A small language model resolves semantic risks and conflicts in prompts via multi-perspective consistency checks, yielding a 2.5-point gain in LLM reasoning performance at $0.02 cost.
InProceedings of the 2025 Confer- ence on Empirical Methods in Natural Language Processing (EMNLP 2025)
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Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt
A small language model resolves semantic risks and conflicts in prompts via multi-perspective consistency checks, yielding a 2.5-point gain in LLM reasoning performance at $0.02 cost.