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. 2202.00535
  4. Cited By
Novelty Controlled Paraphrase Generation with Retrieval Augmented
  Conditional Prompt Tuning

Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning

1 February 2022
Jishnu Ray Chowdhury
Yong Zhuang
Shuyi Wang
ArXivPDFHTML

Papers citing "Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning"

8 / 8 papers shown
Title
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
272
3,784
0
18 Apr 2021
Generating Syntactically Controlled Paraphrases without Using Annotated
  Parallel Pairs
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
Kuan-Hao Huang
Kai-Wei Chang
134
61
0
26 Jan 2021
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase
  Generation
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation
Qingxiu Dong
Xiaojun Wan
Yue Cao
81
30
0
21 Jan 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
272
1,296
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
235
1,898
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
245
1,382
0
21 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,791
0
17 Sep 2019
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
173
708
0
17 Apr 2018
1