Prompt-based methods outperform agent-based debate for LLM stance detection, with model scale driving larger gains than method choice and reasoning models showing no consistent edge.
InProceed- ings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 31–41
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A Systematic Comparison of Prompting and Multi-Agent Methods for LLM-based Stance Detection
Prompt-based methods outperform agent-based debate for LLM stance detection, with model scale driving larger gains than method choice and reasoning models showing no consistent edge.