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. 1909.04028
  4. Cited By
Countering the Effects of Lead Bias in News Summarization via
  Multi-Stage Training and Auxiliary Losses

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses

8 September 2019
Matt Grenander
Yue Dong
Jackie C.K. Cheung
Annie Louis
ArXivPDFHTML

Papers citing "Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses"

11 / 11 papers shown
Title
Self-Supervised Position Debiasing for Large Language Models
Self-Supervised Position Debiasing for Large Language Models
Zhongkun Liu
Zheng Chen
Mengqi Zhang
Zhaochun Ren
Pengjie Ren
Zhumin Chen
36
1
0
02 Jan 2024
SEMQA: Semi-Extractive Multi-Source Question Answering
SEMQA: Semi-Extractive Multi-Source Question Answering
Tal Schuster
Á. Lelkes
Haitian Sun
Jai Gupta
Jonathan Berant
W. Cohen
Donald Metzler
36
13
0
08 Nov 2023
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
81
122
0
03 Jul 2022
TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media
  Posts
TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts
Sajad Sotudeh
Hanieh Deilamsalehi
Franck Dernoncourt
Nazli Goharian
41
9
0
04 Oct 2021
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News
  Summarization
MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
Xinnuo Xu
Ondrej Dusek
Shashi Narayan
Verena Rieser
Ioannis Konstas
HILM
28
6
0
22 Sep 2021
StreamHover: Livestream Transcript Summarization and Annotation
StreamHover: Livestream Transcript Summarization and Annotation
Sangwoo Cho
Franck Dernoncourt
Timothy Jeewun Ganter
Trung Bui
Nedim Lipka
Walter Chang
Hailin Jin
Jonathan Brandt
H. Foroosh
Fei Liu
3DGS
AI4TS
24
29
0
11 Sep 2021
CD2CR: Co-reference Resolution Across Documents and Domains
CD2CR: Co-reference Resolution Across Documents and Domains
James Ravenscroft
Arie Cattan
A. Clare
Ido Dagan
Maria Liakata
80
8
0
29 Jan 2021
Multi-XScience: A Large-scale Dataset for Extreme Multi-document
  Summarization of Scientific Articles
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu
Yue Dong
Laurent Charlin
AILaw
20
113
0
27 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
371
11,700
0
09 Mar 2017
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,255
0
14 Nov 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
258
13,368
0
25 Aug 2014
1