By independently varying base models and training data across 12 models, this study shows that base model choice influences out-of-domain table task performance more than the instruction-tuning dataset does.
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What Really Matters for Table LLMs? A Meta-Evaluation of Model and Data Effects
By independently varying base models and training data across 12 models, this study shows that base model choice influences out-of-domain table task performance more than the instruction-tuning dataset does.