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1908.11723
Cited By
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
30 August 2019
Taehee Jung
Luan Tuyen Chau
L. Mentch
Eduard H. Hovy
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Papers citing
"Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization"
35 / 35 papers shown
Input Order Shapes LLM Semantic Alignment in Multi-Document Summarization
Jing Ma
177
0
0
02 Dec 2025
Reranking-based Generation for Unbiased Perspective Summarization
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Narutatsu Ri
Nicholas Deas
Kathleen McKeown
OffRL
201
0
0
19 Jun 2025
Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Zhiyuan Fan
Yumeng Wang
Sandeep Polisetty
Yi R. Fung
729
0
0
23 Apr 2025
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
International Conference on Learning Representations (ICLR), 2025
Qiujie Xie
Qingqiu Li
Zhuohao Yu
Yuejie Zhang
Yue Zhang
Linyi Yang
ELM
516
19
0
15 Feb 2025
Summarization of Opinionated Political Documents with Varied Perspectives
International Conference on Computational Linguistics (COLING), 2024
Nicholas Deas
Kathleen McKeown
363
1
0
06 Nov 2024
Virtual Personas for Language Models via an Anthology of Backstories
Suhong Moon
Marwa Abdulhai
Minwoo Kang
Joseph Suh
Widyadewi Soedarmadji
Eran Kohen Behar
David M. Chan
265
40
0
09 Jul 2024
AspirinSum: an Aspect-based utility-preserved de-identification Summarization framework
Ya-Lun Li
274
0
0
20 Jun 2024
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization
Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial), 2024
Olubusayo Olabisi
Ameeta Agrawal
329
3
0
03 May 2024
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization
Yash Kumar Atri
Vikram Goyal
Tanmoy Chakraborty
344
1
0
10 Dec 2023
Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations
Ankita Gupta
Chulaka Gunasekara
H. Wan
Jatin Ganhotra
Sachindra Joshi
Marina Danilevsky
266
0
0
15 Nov 2023
Benchmarking Cognitive Biases in Large Language Models as Evaluators
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Ryan Koo
Linghe Wang
Vipul Raheja
Jong Inn Park
Min Namgung
Luan Tuyen Chau
ALM
399
149
0
29 Sep 2023
Bias in News Summarization: Measures, Pitfalls and Corpora
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Julius Steen
Katja Markert
514
20
0
14 Sep 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Preslav Nakov
Guodong Long
Chongyang Tao
Mingzhe Li
Xin Gao
Chen Zhang
Xiangliang Zhang
AAML
206
16
0
01 Jun 2023
Sample Efficient Multimodal Semantic Augmentation for Incremental Summarization
Sumanta Bhattacharyya
R. Manuvinakurike
Sahisnu Mazumder
Saurav Sahay
VLM
261
0
0
08 Mar 2023
SumREN: Summarizing Reported Speech about Events in News
AAAI Conference on Artificial Intelligence (AAAI), 2022
R. Reddy
Heba Elfardy
Hou Pong Chan
Kevin Small
Chenhui Xu
257
7
0
02 Dec 2022
How "Multi" is Multi-Document Summarization?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Ruben Wolhandler
Arie Cattan
Ori Ernst
Ido Dagan
276
13
0
23 Oct 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
IEEE Access (IEEE Access), 2022
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
279
82
0
03 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
672
164
0
15 Dec 2021
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Alexander R. Fabbri
Xiaojian Wu
Srini Iyer
Haoran Li
Mona T. Diab
245
17
0
11 Nov 2021
Dynamic Sliding Window for Meeting Summarization
Zhengyuan Liu
Nancy F. Chen
AI4TS
289
7
0
31 Aug 2021
How well do you know your summarization datasets?
Findings (Findings), 2021
Priyam Tejaswin
Dhruv Naik
Peng Liu
244
30
0
21 Jun 2021
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Linzi Xing
Wen Xiao
Giuseppe Carenini
221
22
0
29 May 2021
Analysis of GraphSum's Attention Weights to Improve the Explainability of Multi-Document Summarization
International Conference on Information Integration and Web-based Applications & Services (IIWAS), 2021
M. Hickmann
Fabian Wurzberger
Megi Hoxhalli
Arne Lochner
Jessica Töllich
A. Scherp
267
1
0
19 May 2021
Multi-Perspective Abstractive Answer Summarization
Alexander R. Fabbri
Xiaojian Wu
Srini Iyer
Mona T. Diab
255
7
0
17 Apr 2021
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Jesse Vig
Wojciech Kry'sciñski
Karan Goel
Nazneen Rajani
250
24
0
15 Apr 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Joey Tianyi Zhou
Christopher Ré
AAML
OffRL
OOD
475
158
0
13 Jan 2021
Movie Summarization via Sparse Graph Construction
AAAI Conference on Artificial Intelligence (AAAI), 2020
Pinelopi Papalampidi
Frank Keller
Mirella Lapata
325
36
0
14 Dec 2020
Systematically Exploring Redundancy Reduction in Summarizing Long Documents
Wen Xiao
Giuseppe Carenini
326
48
0
30 Nov 2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
North American Chapter of the Association for Computational Linguistics (NAACL), 2020
Alexander R. Fabbri
Simeng Han
Haoyuan Li
Haoran Li
Marjan Ghazvininejad
Shafiq Joty
Dragomir R. Radev
Yashar Mehdad
451
102
0
24 Oct 2020
Corpora Evaluation and System Bias Detection in Multi-document Summarization
Findings (Findings), 2020
Alvin Dey
Tanya Chowdhury
Yash Kumar Atri
Tanmoy Chakraborty
191
10
0
05 Oct 2020
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization
Yang Gao
Wei Zhao
Steffen Eger
ELM
318
137
0
07 May 2020
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization
Findings (Findings), 2020
Zhengyuan Liu
Ke Shi
Nancy F. Chen
309
8
0
29 Apr 2020
Attend to the beginning: A study on using bidirectional attention for extractive summarization
The Florida AI Research Society (FLAIRS), 2020
Ahmed Magooda
C. Marcjan
269
3
0
09 Feb 2020
A Closer Look at Data Bias in Neural Extractive Summarization Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Ming Zhong
Danqing Wang
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
316
45
0
30 Sep 2019
Facet-Aware Evaluation for Extractive Summarization
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Yuning Mao
Liyuan Liu
Qi Zhu
Xiang Ren
Jiawei Han
CVBM
199
20
0
27 Aug 2019
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