ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.11004
  4. Cited By
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators

The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators

25 June 2024
Tzu-Heng Huang
Catherine Cao
Vaishnavi Bhargava
Frederic Sala
ArXivPDFHTML

Papers citing "The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators"

4 / 4 papers shown
Title
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
201
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
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
Jiahui Gao
Renjie Pi
Yong Lin
Hang Xu
Jiacheng Ye
Zhiyong Wu
Weizhong Zhang
Xiaodan Liang
Zhenguo Li
Lingpeng Kong
SyDa
VLM
52
45
0
25 May 2022
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
1