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Large Language Models Can Automatically Engineer Features for Few-Shot
  Tabular Learning

Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning

15 April 2024
Sungwon Han
Jinsung Yoon
Sercan Ö. Arik
Tomas Pfister
    LMTD
ArXivPDFHTML

Papers citing "Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning"

12 / 12 papers shown
Title
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It
Jianhao Li
Xianchao Xiu
37
0
0
31 Mar 2025
Large Language Models as Attribution Regularizers for Efficient Model Training
Large Language Models as Attribution Regularizers for Efficient Model Training
Davor Vukadin
Marin Šilić
Goran Delač
36
0
0
27 Feb 2025
Integrating Expert Knowledge into Logical Programs via LLMs
Integrating Expert Knowledge into Logical Programs via LLMs
Franciszek Górski
Oskar Wysocki
Marco Valentino
André Freitas
25
0
0
17 Feb 2025
Transfer Learning of Tabular Data by Finetuning Large Language Models
Transfer Learning of Tabular Data by Finetuning Large Language Models
S. B. Rabbani
Ibna Kowsar
Manar D. Samad
LMTD
39
1
0
12 Jan 2025
Transforming Game Play: A Comparative Study of DCQN and DTQN
  Architectures in Reinforcement Learning
Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning
William A. Stigall
43
0
0
14 Oct 2024
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
Joseph Lee
Shu Yang
Jae Young Baik
Xiaoxi Liu
Zhen Tan
...
Zixuan Wen
Bojian Hou
D. Duong-Tran
Tianlong Chen
Li Shen
44
1
0
02 Oct 2024
Transfer Learning with Deep Tabular Models
Transfer Learning with Deep Tabular Models
Roman Levin
Valeriia Cherepanova
Avi Schwarzschild
Arpit Bansal
C. B. Bruss
Tom Goldstein
A. Wilson
Micah Goldblum
OOD
FedML
LMTD
63
58
0
30 Jun 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
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
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
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
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
1