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. 1805.06553
  4. Cited By
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence
  Natural Language Generation

A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation

16 May 2018
Juraj Juraska
P. Karagiannis
Kevin K. Bowden
M. Walker
ArXivPDFHTML

Papers citing "A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation"

21 / 21 papers shown
Title
Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation
Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation
Joy Mahapatra
Soumyajit Roy
Utpal Garain
HILM
ALM
88
0
0
17 Feb 2025
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text
  Generation: A State-of-the-Art Investigation
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text Generation: A State-of-the-Art Investigation
Joy Mahapatra
Utpal Garain
42
8
0
19 Jul 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt
  Engineer
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Junyuan Hong
Jiachen T. Wang
Chenhui Zhang
Zhangheng Li
Bo-wen Li
Zhangyang Wang
48
29
0
27 Nov 2023
Innovations in Neural Data-to-text Generation: A Survey
Innovations in Neural Data-to-text Generation: A Survey
Mandar Sharma
Ajay K. Gogineni
Naren Ramakrishnan
32
10
0
25 Jul 2022
Scientometric Review of Artificial Intelligence for Operations &
  Maintenance of Wind Turbines: The Past, Present and Future
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future
Joyjit Chatterjee
Nina Dethlefs
26
83
0
30 Mar 2022
Search and Learn: Improving Semantic Coverage for Data-to-Text
  Generation
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
Shailza Jolly
Zi Xuan Zhang
Andreas Dengel
Lili Mou
29
11
0
06 Dec 2021
Controlling Hallucinations at Word Level in Data-to-Text Generation
Controlling Hallucinations at Word Level in Data-to-Text Generation
Clément Rebuffel
Marco Roberti
Laure Soulier
Geoffrey Scoutheeten
R. Cancelliere
Patrick Gallinari
16
66
0
04 Feb 2021
Transforming Multi-Conditioned Generation from Meaning Representation
Transforming Multi-Conditioned Generation from Meaning Representation
Joosung Lee
19
3
0
12 Jan 2021
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural
  Language Inference
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference
Ondrej Dusek
Zdeněk Kasner
30
66
0
21 Nov 2020
A Generative Model for Joint Natural Language Understanding and
  Generation
A Generative Model for Joint Natural Language Understanding and Generation
Bo-Hsiang Tseng
Jianpeng Cheng
Yimai Fang
David Vandyke
19
22
0
12 Jun 2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and
  Correspondence
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence
Xiaoyu Shen
Ernie Chang
Hui Su
Jie Zhou
Dietrich Klakow
40
49
0
03 May 2020
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain
  Conversation
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
Juraj Juraska
Kevin K. Bowden
M. Walker
21
41
0
26 Oct 2019
Semi-Supervised Neural Text Generation by Joint Learning of Natural
  Language Generation and Natural Language Understanding Models
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
Raheel Qader
François Portet
Cyril Labbe
47
23
0
29 Sep 2019
SlugBot: Developing a Computational Model andFramework of a Novel
  Dialogue Genre
SlugBot: Developing a Computational Model andFramework of a Novel Dialogue Genre
Kevin K. Bowden
JiaQi Wu
Wen Cui
Juraj Juraska
Vrindavan Harrison
Brian Schwarzmann
Nicholas Santer
M. Walker
LLMAG
14
15
0
22 Jul 2019
Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality
  Variation and Discourse Contrast
Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast
Vrindavan Harrison
Lena Reed
Shereen Oraby
M. Walker
21
28
0
22 Jul 2019
Evaluating the State-of-the-Art of End-to-End Natural Language
  Generation: The E2E NLG Challenge
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
Ondrej Dusek
Jekaterina Novikova
Verena Rieser
ELM
46
232
0
23 Jan 2019
End-to-End Content and Plan Selection for Data-to-Text Generation
End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann
Falcon Z. Dai
H. Elder
Alexander M. Rush
28
70
0
10 Oct 2018
Findings of the E2E NLG Challenge
Findings of the E2E NLG Challenge
Ondrej Dusek
Jekaterina Novikova
Verena Rieser
20
115
0
02 Oct 2018
Neural Generation of Diverse Questions using Answer Focus, Contextual
  and Linguistic Features
Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features
Vrindavan Harrison
M. Walker
AIMat
9
50
0
07 Sep 2018
RankME: Reliable Human Ratings for Natural Language Generation
RankME: Reliable Human Ratings for Natural Language Generation
Jekaterina Novikova
Ondrej Dusek
Verena Rieser
ALM
27
108
0
15 Mar 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,748
0
26 Sep 2016
1