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Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large
  Language Models by Extrapolating Errors from Small Models

Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

20 October 2023
Ruida Wang
Wangchunshu Zhou
Mrinmaya Sachan
ArXivPDFHTML

Papers citing "Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models"

33 / 33 papers shown
Title
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
Yang Janet Liu
Bingjie Yan
Tianyuan Zou
Jianqing Zhang
Zixuan Gu
...
J. Li
Xiaozhou Ye
Ye Ouyang
Qiang Yang
Y. Zhang
ALM
48
0
0
24 Apr 2025
TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
Sheng Wang
Pengan Chen
Jingqi Zhou
Qintong Li
Jingwei Dong
Jiahui Gao
Boyang Xue
Jiyue Jiang
Lingpeng Kong
Chuan Wu
SyDa
59
0
0
21 Mar 2025
FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4
Jiarui Yao
Ruida Wang
Tong Zhang
LRM
47
0
0
05 Mar 2025
MA-LoT: Multi-Agent Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
Ruida Wang
Rui Pan
Yuxin Li
Jipeng Zhang
Yizhen Jia
Shizhe Diao
Renjie Pi
Junjie Hu
Tong Zhang
LRM
LLMAG
73
5
0
05 Mar 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
Y. Meena
Vaibhav Singh
Ayush Maheshwari
Amrith Krishna
Ganesh Ramakrishnan
AI4TS
46
0
0
09 Feb 2025
Few-shot LLM Synthetic Data with Distribution Matching
Few-shot LLM Synthetic Data with Distribution Matching
Jiyuan Ren
Zhaocheng Du
Zhihao Wen
Qinglin Jia
Sunhao Dai
Chuhan Wu
Zhenhua Dong
SyDa
71
0
0
09 Feb 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
49
12
0
28 Jan 2025
Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration
Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration
Thomas Walshe
S. Moon
Chunyang Xiao
Yawwani Gunawardana
Fran Silavong
33
0
0
21 Jan 2025
ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?
ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?
Zheng Hui
Zhaoxiao Guo
Hang Zhao
Juanyong Duan
Lin Ai
Yinheng Li
Julia Hirschberg
Congrui Huang
60
1
0
18 Nov 2024
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
Suhas S Kowshik
Abhishek Divekar
Vijit Malik
SyDa
33
0
0
13 Nov 2024
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
Tobias Leemann
Periklis Petridis
G. Vietri
Dionysis Manousakas
Aaron Roth
Sergul Aydore
41
0
0
04 Oct 2024
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data
  Generation
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation
Yi-Hao Peng
Faria Huq
Yue Jiang
Jason Wu
Amanda Li
Jeffrey P. Bigham
Amy Pavel
DiffM
22
0
0
30 Sep 2024
Enhancing SLM via ChatGPT and Dataset Augmentation
Enhancing SLM via ChatGPT and Dataset Augmentation
Tom Pieper
Mohamad Ballout
U. Krumnack
Gunther Heidemann
Kai-Uwe Kühnberger
16
0
0
19 Sep 2024
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to
  Small-Scale Local LLMs
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
Chansung Park
Juyong Jiang
Fan Wang
Sayak Paul
Jing Tang
23
2
0
24 Aug 2024
RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train
  and Deploy Edge Classifiers for Computational Social Science
RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science
David Farr
Nico Manzonelli
Iain Cruickshank
Jevin West
18
0
0
15 Aug 2024
Training Task Experts through Retrieval Based Distillation
Training Task Experts through Retrieval Based Distillation
Jiaxin Ge
Xueying Jia
Vijay Viswanathan
Hongyin Luo
Graham Neubig
26
2
0
07 Jul 2024
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
Ruida Wang
Jipeng Zhang
Yizhen Jia
Rui Pan
Shizhe Diao
Renjie Pi
Tong Zhang
LRM
25
1
0
03 Jul 2024
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A
  Survey
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Lin Long
Rui Wang
Ruixuan Xiao
Junbo Zhao
Xiao Ding
Gang Chen
Haobo Wang
SyDa
45
88
0
14 Jun 2024
TAIA: Large Language Models are Out-of-Distribution Data Learners
TAIA: Large Language Models are Out-of-Distribution Data Learners
Shuyang Jiang
Yusheng Liao
Ya-Qin Zhang
Yu Wang
Yanfeng Wang
24
3
0
30 May 2024
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training
  Small Data Synthesis Models
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models
Kun Zhou
Beichen Zhang
Jiapeng Wang
Zhipeng Chen
Wayne Xin Zhao
Jing Sha
Zhichao Sheng
Shijin Wang
Ji-Rong Wen
SyDa
LRM
30
29
0
23 May 2024
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
Abhishek Divekar
Greg Durrett
18
1
0
16 May 2024
Large Language Models for Data Annotation: A Survey
Large Language Models for Data Annotation: A Survey
Zhen Tan
Dawei Li
Song Wang
Alimohammad Beigi
Bohan Jiang
Amrita Bhattacharjee
Mansooreh Karami
Jundong Li
Lu Cheng
Huan Liu
SyDa
37
44
0
21 Feb 2024
CultureLLM: Incorporating Cultural Differences into Large Language
  Models
CultureLLM: Incorporating Cultural Differences into Large Language Models
Cheng-rong Li
Mengzhou Chen
Jindong Wang
Sunayana Sitaram
Xing Xie
VLM
38
17
0
09 Feb 2024
Learning From Mistakes Makes LLM Better Reasoner
Learning From Mistakes Makes LLM Better Reasoner
Shengnan An
Zexiong Ma
Zeqi Lin
Nanning Zheng
Jian-Guang Lou
Weizhu Chen
LRM
19
73
0
31 Oct 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
198
283
0
03 May 2023
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye
Jiahui Gao
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
VLM
71
69
0
22 Oct 2022
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
71
79
0
08 Nov 2021
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
210
155
0
15 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
113
269
0
05 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
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu
Wangchunshu Zhou
Tao Ge
Furu Wei
Ming Zhou
210
196
0
07 Feb 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
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