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.
Fuqiang Niu, Yi Yang, Xianghua Fu, Genan Dai, and Bowen Zhang
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.