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. 2108.06614
  4. Cited By
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot
  Neural Text Generation

The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation

14 August 2021
Ernie Chang
Xiaoyu Shen
Alex Marin
Vera Demberg
ArXivPDFHTML

Papers citing "The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation"

4 / 4 papers shown
Title
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on
  Software Engineering Tasks
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks
Wentao Zou
Qi Li
Jidong Ge
Chuanyi Li
Xiaoyu Shen
LiGuo Huang
Bin Luo
24
5
0
25 Dec 2023
Decorate the Examples: A Simple Method of Prompt Design for Biomedical
  Relation Extraction
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
Hui-Syuan Yeh
Thomas Lavergne
Pierre Zweigenbaum
21
10
0
21 Apr 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,844
0
18 Apr 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
246
285
0
02 Feb 2021
1