E-2E

The 'E-2E' dataset is a benchmark used to evaluate text-to-table generation, focusing on the performance of structured decoding methods in generating tables from textual information.

Papers using E-2E (3)

Evaluating Structured Decoding for Text-to-Table Generation: Evidence from Three Datasets2025UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models2025An Extensive Evaluation of Factual Consistency in Large Language Models for Data-to-Text Generation2024