arXiv cs.CL
· Papers
Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation
arXiv:2607.14109v1 Announce Type: new Abstract: Probing the capabilities of Large Language Models (LLMs) and building robust solutions for Multiple-Choice Question Answering (MCQA) remain central challenges in natural language understanding. Furthermore, the rapid proliferation of LLMs has created the implicit assumpti