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cs.CL2025
Can Finetuing LLMs on Small Human Samples Increase Heterogeneity, Alignment, and Belief-Action Coherence?
Steven Wang, Kyle Hunt, Shaojie Tang +1
There is ongoing debate about whether large language models (LLMs) can serve as substitutes for human participants in survey and experimental research. While recent work in fields…
cs.CL2024
The Power of Adaptation: Boosting In-Context Learning through Adaptive Prompting
Shuzhang Cai, Twumasi Mensah-Boateng, Xander Kuksov +2
Large Language Models (LLMs) have demonstrated exceptional abilities across a broad range of language-related tasks, including generating solutions to complex reasoning problems. A…