SIGIR

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models

TReB：评估大语言模型表格推理能力的综合基准

Ce Li, Xiaofan Liu, Zhiyan Song, Ce Chi, Boshen Shi, Chen Zhao, Guanguang Chang, Zhendong Wang, Kexin Yang, Xing Wang, Chao Deng, Junlan Feng

机构 * JIUTIAN Research（天研机构） 纠错

AI总结 针对大语言模型处理表格数据推理能力评估基准缺失的问题，提出TReB基准，用分类法涵盖26个子任务，经数据处理构建高质量数据集，设计含三种推理模式的评估框架，揭示现有模型在表格任务上有改进空间，且数据和框架均公开。

Comments published by SIGIR 2026

Journal ref Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2026, 3267-3275