作者位次 #2/4ACL 2026Findings· Findings of ACL
Generalization or Memorization? Multi-Agent vs. Baseline LLM s and A uto ML Models for Tabular Classification
Aida Sanatizadeh · Sorouralsadat Fatemi · Reza Mousavi · Ahmed Abbasi
摘要
Large Language Models (LLMs) are increasingly used for structured tabular data, yet it remains unclear whether their performance reflects genuine reasoning or memorization of pre-training corpora. We investigate this question through a rigorous, contamination-aware evaluation of a representative...