Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2402.18609
Cited By
ICE-SEARCH: A Language Model-Driven Feature Selection Approach
28 February 2024
T. Yang
Tim Tianyi Yang
Fuyuan Lyu
Shaoshan Liu
Xue
Xue Liu
Re-assign community
ArXiv
PDF
HTML
Papers citing
"ICE-SEARCH: A Language Model-Driven Feature Selection Approach"
17 / 17 papers shown
Title
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It
Jianhao Li
Xianchao Xiu
88
0
0
31 Mar 2025
InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference
Tianyu Cui
Song-Jun Xu
Artem Moskalev
Shuwei Li
Tommaso Mansi
Mangal Prakash
Rui Liao
BDL
133
2
0
06 Mar 2025
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
99
1
0
02 Oct 2024
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta
Nils Blach
Aleš Kubíček
Robert Gerstenberger
Michal Podstawski
...
Joanna Gajda
Tomasz Lehmann
H. Niewiadomski
Piotr Nyczyk
Torsten Hoefler
LRM
AI4CE
LM&Ro
104
665
0
18 Aug 2023
Better Zero-Shot Reasoning with Role-Play Prompting
Aobo Kong
Shiwan Zhao
Hao Chen
Qicheng Li
Yong Qin
Ruiqi Sun
Xiaoxia Zhou
Enzhi Wang
Xiaohang Dong
ReLM
LLMAG
LRM
58
166
0
15 Aug 2023
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Noah Hollmann
Samuel G. Müller
Frank Hutter
67
58
0
05 May 2023
Language Models are Realistic Tabular Data Generators
V. Borisov
Kathrin Seßler
Tobias Leemann
Martin Pawelczyk
Gjergji Kasneci
LMTD
68
247
0
12 Oct 2022
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
740
9,267
0
28 Jan 2022
MetaICL: Learning to Learn In Context
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
192
488
0
29 Oct 2021
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
118
3,723
0
03 Sep 2021
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang
Luoqiu Li
Xiang Chen
Shumin Deng
Zhen Bi
Chuanqi Tan
Fei Huang
Huajun Chen
VLM
103
179
0
30 Aug 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
280
184
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
213
4,244
0
01 Jan 2021
The Computational Limits of Deep Learning
Neil C. Thompson
Kristjan Greenewald
Keeheon Lee
Gabriel F. Manso
VLM
46
521
0
10 Jul 2020
Survey on Feature Selection
T. Abdallah
B. Iglesia
92
232
0
10 Oct 2015
Generalized Fisher Score for Feature Selection
Quanquan Gu
Z. Li
Jiawei Han
66
761
0
14 Feb 2012
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
339
25,569
0
09 Jun 2011
1