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LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning

LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning

12 May 2025
Xiaotian Lin
Yanlin Qi
Yizhang Zhu
Themis Palpanas
Chengliang Chai
Nan Tang
Yuyu Luo
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Papers citing "LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning"

10 / 10 papers shown
Title
Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting
Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting
Yifan Wu
Jingze Shi
Bingheng Wu
Jiayi Zhang
Xiaotian Lin
Nan Tang
Yuyu Luo
LRM
79
0
0
26 May 2025
IterSelectTune: An Iterative Training Framework for Efficient
  Instruction-Tuning Data Selection
IterSelectTune: An Iterative Training Framework for Efficient Instruction-Tuning Data Selection
Jielin Song
Siyu Liu
Bin Zhu
Yanghui Rao
38
3
0
17 Oct 2024
ItD: Large Language Models Can Teach Themselves Induction through
  Deduction
ItD: Large Language Models Can Teach Themselves Induction through Deduction
Wangtao Sun
Haotian Xu
Xuanqing Yu
Pei Chen
Shizhu He
Jun Zhao
Kang Liu
LRM
59
10
0
09 Mar 2024
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and
  Diffusion Models
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
Yongchan Kwon
Eric Wu
K. Wu
James Zou
DiffM
TDI
75
67
0
02 Oct 2023
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of
  Large Language Models
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Keming Lu
Hongyi Yuan
Zheng Yuan
Runji Lin
Junyang Lin
Chuanqi Tan
Chang Zhou
Jingren Zhou
ALM
LRM
50
71
0
14 Aug 2023
Unnatural Instructions: Tuning Language Models with (Almost) No Human
  Labor
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Or Honovich
Thomas Scialom
Omer Levy
Timo Schick
ALM
108
372
0
19 Dec 2022
Training Verifiers to Solve Math Word Problems
Training Verifiers to Solve Math Word Problems
K. Cobbe
V. Kosaraju
Mohammad Bavarian
Mark Chen
Heewoo Jun
...
Jerry Tworek
Jacob Hilton
Reiichiro Nakano
Christopher Hesse
John Schulman
ReLM
OffRL
LRM
280
4,397
0
27 Oct 2021
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELM
ALM
224
5,518
0
07 Jul 2021
TyDi QA: A Benchmark for Information-Seeking Question Answering in
  Typologically Diverse Languages
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
J. Clark
Eunsol Choi
Michael Collins
Dan Garrette
Tom Kwiatkowski
Vitaly Nikolaev
J. Palomaki
143
609
0
10 Mar 2020
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
73
1,027
0
28 Nov 2017
1