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. 1909.01953
  4. Cited By
Mixture Content Selection for Diverse Sequence Generation

Mixture Content Selection for Diverse Sequence Generation

4 September 2019
Jaemin Cho
Minjoon Seo
Hannaneh Hajishirzi
ArXivPDFHTML

Papers citing "Mixture Content Selection for Diverse Sequence Generation"

11 / 11 papers shown
Title
RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models
RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models
Fujun Zhang
Xiangdong Su
31
0
0
13 May 2025
JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry
JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry
Anum Afzal
Alexandre Mercier
Florian Matthes
62
0
0
29 Apr 2025
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of
  In-Context Experts
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts
Nghia T. Le
Fan Bai
Alan Ritter
35
12
0
07 Oct 2022
"What makes a question inquisitive?" A Study on Type-Controlled
  Inquisitive Question Generation
"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation
Lingyu Gao
Debanjan Ghosh
Kevin Gimpel
29
11
0
17 May 2022
A Well-Composed Text is Half Done! Composition Sampling for Diverse
  Conditional Generation
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation
Shashi Narayan
Gonccalo Simoes
Yao-Min Zhao
Joshua Maynez
Dipanjan Das
Michael Collins
Mirella Lapata
29
30
0
28 Mar 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture
  of Knowledge Graph Experts
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
W. Yu
Chenguang Zhu
Lianhui Qin
Zhihan Zhang
Tong Zhao
Meng Jiang
LRM
25
31
0
14 Mar 2022
Universal Simultaneous Machine Translation with Mixture-of-Experts
  Wait-k Policy
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy
Shaolei Zhang
Yang Feng
MoE
20
39
0
11 Sep 2021
Mixed SIGNals: Sign Language Production via a Mixture of Motion
  Primitives
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives
Ben Saunders
Necati Cihan Camgöz
Richard Bowden
SLR
27
50
0
23 Jul 2021
Controllable Open-ended Question Generation with A New Question Type
  Ontology
Controllable Open-ended Question Generation with A New Question Type Ontology
Shuyang Cao
Lu Wang
14
49
0
01 Jul 2021
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of
  Clinical Question Answering
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
Xiang Yue
Xinliang Frederick Zhang
Ziyu Yao
Simon M. Lin
Huan Sun
LM&MA
MedIm
21
35
0
30 Oct 2020
How Decoding Strategies Affect the Verifiability of Generated Text
How Decoding Strategies Affect the Verifiability of Generated Text
Luca Massarelli
Fabio Petroni
Aleksandra Piktus
Myle Ott
Tim Rocktaschel
Vassilis Plachouras
Fabrizio Silvestri
Sebastian Riedel
23
50
0
09 Nov 2019
1