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.
InProceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 8913–
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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.