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. 2010.07882
  4. Cited By
Understanding Neural Abstractive Summarization Models via Uncertainty

Understanding Neural Abstractive Summarization Models via Uncertainty

15 October 2020
Jiacheng Xu
Shrey Desai
Greg Durrett
    UQLM
ArXivPDFHTML

Papers citing "Understanding Neural Abstractive Summarization Models via Uncertainty"

19 / 19 papers shown
Title
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
Yanwen Huang
Yong Zhang
Ning Cheng
Zhitao Li
Shaojun Wang
Jing Xiao
91
0
0
02 Jan 2025
Rethinking Transformer-based Multi-document Summarization: An Empirical
  Investigation
Rethinking Transformer-based Multi-document Summarization: An Empirical Investigation
Congbo Ma
Wei Emma Zhang
Dileepa Pitawela
Haojie Zhuang
Yanfeng Shu
22
0
0
16 Jul 2024
RTSUM: Relation Triple-based Interpretable Summarization with
  Multi-level Salience Visualization
RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
Seonglae Cho
Yonggi Cho
HoonJae Lee
Myungha Jang
Jinyoung Yeo
Dongha Lee
27
0
0
21 Oct 2023
Neural Keyphrase Generation: Analysis and Evaluation
Neural Keyphrase Generation: Analysis and Evaluation
Tuhin Kundu
Jishnu Ray Chowdhury
Cornelia Caragea
31
0
0
27 Apr 2023
Do Multi-Document Summarization Models Synthesize?
Do Multi-Document Summarization Models Synthesize?
Jay DeYoung
Stephanie C. Martinez
Iain J. Marshall
Byron C. Wallace
24
8
0
31 Jan 2023
How Far are We from Robust Long Abstractive Summarization?
How Far are We from Robust Long Abstractive Summarization?
Huan Yee Koh
Jiaxin Ju
He Zhang
Ming Liu
Shirui Pan
HILM
31
39
0
30 Oct 2022
Mutual Information Alleviates Hallucinations in Abstractive
  Summarization
Mutual Information Alleviates Hallucinations in Abstractive Summarization
Liam van der Poel
Ryan Cotterell
Clara Meister
HILM
18
58
0
24 Oct 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
195
22
0
20 Oct 2022
An Empirical Survey on Long Document Summarization: Datasets, Models and
  Metrics
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics
Huan Yee Koh
Jiaxin Ju
Ming Liu
Shirui Pan
83
122
0
03 Jul 2022
Don't Say What You Don't Know: Improving the Consistency of Abstractive
  Summarization by Constraining Beam Search
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search
Daniel King
Zejiang Shen
Nishant Subramani
Daniel S. Weld
Iz Beltagy
Doug Downey
HILM
28
31
0
16 Mar 2022
Massive-scale Decoding for Text Generation using Lattices
Massive-scale Decoding for Text Generation using Lattices
Jiacheng Xu
Siddhartha Reddy Jonnalagadda
Greg Durrett
AI4CE
35
8
0
14 Dec 2021
HydraSum: Disentangling Stylistic Features in Text Summarization using
  Multi-Decoder Models
HydraSum: Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models
Tanya Goyal
Nazneen Rajani
Wenhao Liu
Wojciech Kry'sciñski
AI4CE
20
12
0
08 Oct 2021
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in
  Abstractive Summarization
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Mengyao Cao
Yue Dong
Jackie C.K. Cheung
HILM
186
146
0
30 Aug 2021
Factual Consistency Evaluation for Text Summarization via Counterfactual
  Estimation
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
Yuexiang Xie
Fei Sun
Yang Deng
Yaliang Li
Bolin Ding
HILM
26
53
0
30 Aug 2021
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation
Yixin Wang
Zihao Lin
Zhe Xu
Haoyu Dong
Jiang Tian
Jie Luo
Zhongchao Shi
Yang Zhang
Jianping Fan
Zhiqiang He
UQCV
MedIm
36
12
0
21 Jun 2021
To Point or Not to Point: Understanding How Abstractive Summarizers
  Paraphrase Text
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text
Matthew Wilber
William Timkey
Marten van Schijndel
24
8
0
03 Jun 2021
Should We Trust This Summary? Bayesian Abstractive Summarization to The
  Rescue
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue
Alexios Gidiotis
Grigorios Tsoumakas
UQCV
UD
BDL
22
9
0
21 May 2021
On Hallucination and Predictive Uncertainty in Conditional Language
  Generation
On Hallucination and Predictive Uncertainty in Conditional Language Generation
Yijun Xiao
Wei Wang
HILM
13
182
0
28 Mar 2021
Calibration of Pre-trained Transformers
Calibration of Pre-trained Transformers
Shrey Desai
Greg Durrett
UQLM
246
290
0
17 Mar 2020
1