TAP4LLM: Table Provider on Sampling, Augmenting, and Packing
Semi-structured Data for Large Language Model Reasoning

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning

14 December 2023

Yuan Sui

Papers citing "TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning"

7 / 7 papers shown

Title
Sparks of Tabular Reasoning via Text2SQL Reinforcement Learning Josefa Lia Stoisser Marc Boubnovski Martell Julien Fauqueur LMTD ReLM AI4TS LRM 78 0 0 23 Apr 2025
TableMaster: A Recipe to Advance Table Understanding with Language Models Lang Cao Hanbing Liu LMTD RALM 154 0 1 31 Jan 2025
Large Language Models Meet NLP: A Survey Libo Qin Qiguang Chen Xiachong Feng Yang Wu Yongheng Zhang Yinghui Li Min Li Wanxiang Che Philip S. Yu ALM LM&MA ELM LRM 38 46 0 21 May 2024
Binding Language Models in Symbolic Languages Zhoujun Cheng Tianbao Xie Peng Shi Chengzu Li Rahul Nadkarni ... Dragomir R. Radev Mari Ostendorf Luke Zettlemoyer Noah A. Smith Tao Yu LMTD 109 197 0 06 Oct 2022
GLM-130B: An Open Bilingual Pre-trained Model Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai ... Jidong Zhai Wenguang Chen Peng-Zhen Zhang Yuxiao Dong Jie Tang BDL LRM 242 1,070 0 05 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022