Large Scale Transfer Learning for Tabular Data via Language Modeling

Large Scale Transfer Learning for Tabular Data via Language Modeling

17 June 2024

Juan C. Perdomo

Ludwig Schmidt

Papers citing "Large Scale Transfer Learning for Tabular Data via Language Modeling"

7 / 7 papers shown

Title
Scaling Laws for Forgetting When Fine-Tuning Large Language Models Damjan Kalajdzievski CLL 26 8 0 11 Jan 2024
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models Xumeng Wen Han Zhang Shun Zheng Wei Xu Jiang Bian LMTD ALM 62 20 0 11 Oct 2023
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages Yu Zhang Wei Han James Qin Yongqiang Wang Ankur Bapna ... Pedro J. Moreno Chung-Cheng Chiu J. Schalkwyk Franccoise Beaufays Yonghui Wu VLM 77 249 0 02 Mar 2023
Two-stage LLM Fine-tuning with Less Specialization and More Generalization Yihan Wang Si Si Daliang Li Michal Lukasik Felix X. Yu Cho-Jui Hsieh Inderjit S Dhillon Sanjiv Kumar 32 29 0 01 Nov 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 882 0 18 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 254 374 0 28 Feb 2021