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

@inproceedings{li-2026-treb, author = {Ce Li and Yandong Liu and Yohei Seki and Zhendong Wang and Chao Deng and Victor Lavrenko and Nitya Narasimhan and Xiaofan Liu and Venu Vasudevan and Zhiyan Song and Ce Chi and Eugene Agichtein and Boshen Shi and Chen Zhao and Guanguang Chang and Yohei Seki and Zhendong Wang and Kexin Yang and Xing Wang and Chao Deng and Victor Lavrenko and Junlan Feng}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {3267--3275}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808617}, doi = {https://doi.org/10.1145/3805712.3808617} }