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Focus Attention: Promoting Faithfulness and Diversity in Summarization

Focus Attention: Promoting Faithfulness and Diversity in Summarization

Annual Meeting of the Association for Computational Linguistics (ACL), 2021
25 May 2021
Rahul Aralikatte
Shashi Narayan
Joshua Maynez
S. Rothe
Ryan T. McDonald
ArXiv (abs)PDFHTML

Papers citing "Focus Attention: Promoting Faithfulness and Diversity in Summarization"

30 / 30 papers shown
InforME: Improving Informativeness of Abstractive Text Summarization With Informative Attention Guided by Named Entity Salience
InforME: Improving Informativeness of Abstractive Text Summarization With Informative Attention Guided by Named Entity Salience
Jianbin Shen
Christy Jie Liang
Junyu Xuan
143
0
0
07 Oct 2025
Does This Summary Answer My Question? Modeling Query-Focused Summary
  Readers with Rational Speech Acts
Does This Summary Answer My Question? Modeling Query-Focused Summary Readers with Rational Speech Acts
Cesare Spinoso-Di Piano
Jackie Chi Kit Cheung
285
0
0
10 Nov 2024
Towards Reliable Medical Question Answering: Techniques and Challenges
  in Mitigating Hallucinations in Language Models
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models
Duy Khoa Pham
Bao Quoc Vo
LM&MAHILM
366
29
0
25 Aug 2024
Investigating and Addressing Hallucinations of LLMs in Tasks Involving
  Negation
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
Neeraj Varshney
Satyam Raj
Venkatesh Mishra
Agneet Chatterjee
Ritika Sarkar
Amir Saeidi
Chitta Baral
LRM
306
22
0
08 Jun 2024
ChatGPT Incorrectness Detection in Software Reviews
ChatGPT Incorrectness Detection in Software Reviews
M. Tanzil
Junaed Younus Khan
Gias Uddin
413
22
0
25 Mar 2024
Language Models in Dialogue: Conversational Maxims for Human-AI
  Interactions
Language Models in Dialogue: Conversational Maxims for Human-AI InteractionsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Erik Miehling
Manish Nagireddy
P. Sattigeri
Elizabeth M. Daly
David Piorkowski
John T. Richards
ALM
434
30
0
22 Mar 2024
EDT: Improving Large Language Models' Generation by Entropy-based
  Dynamic Temperature Sampling
EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling
Shimao Zhang
Yu Bao
Shujian Huang
295
34
0
21 Mar 2024
A Data-Centric Approach To Generate Faithful and High Quality Patient
  Summaries with Large Language Models
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
S. Hegselmann
Zejiang Shen
Florian Gierse
Monica Agrawal
David Sontag
Xiaoyi Jiang
HILMVLM
407
10
0
23 Feb 2024
Investigating Content Planning for Navigating Trade-offs in
  Knowledge-Grounded Dialogue
Investigating Content Planning for Navigating Trade-offs in Knowledge-Grounded Dialogue
Kushal Chawla
Hannah Rashkin
Gaurav Singh Tomar
David Reitter
207
2
0
03 Feb 2024
Responsible AI Considerations in Text Summarization Research: A Review
  of Current Practices
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices
Yu Lu Liu
Meng Cao
Su Lin Blodgett
Jackie Chi Kit Cheung
Alexandra Olteanu
Adam Trischler
246
4
0
18 Nov 2023
Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded
  Dialogue Generation
Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation
Yixin Wan
Fanyou Wu
Weijie Xu
Srinivasan H. Sengamedu
HILM
474
6
0
28 Oct 2023
Fidelity-Enriched Contrastive Search: Reconciling the
  Faithfulness-Diversity Trade-Off in Text Generation
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Wei-Lin Chen
Cheng-Kuang Wu
Hsin-Hsi Chen
Chung-Chi Chen
HILM
301
13
0
23 Oct 2023
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of
  LLMs by Validating Low-Confidence Generation
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation
Neeraj Varshney
Wenlin Yao
Hongming Zhang
Jianshu Chen
Dong Yu
HILM
434
244
0
08 Jul 2023
Annotating and Detecting Fine-grained Factual Errors for Dialogue
  Summarization
Annotating and Detecting Fine-grained Factual Errors for Dialogue SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Rongxin Zhu
Jianzhong Qi
Jey Han Lau
310
12
0
26 May 2023
Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages
Vārta: A Large-Scale Headline-Generation Dataset for Indic LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Rahul Aralikatte
Ziling Cheng
Sumanth Doddapaneni
Jackie C.K. Cheung
307
10
0
10 May 2023
mFACE: Multilingual Summarization with Factual Consistency Evaluation
mFACE: Multilingual Summarization with Factual Consistency EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Roee Aharoni
Shashi Narayan
Joshua Maynez
Jonathan Herzig
Elizabeth Clark
Mirella Lapata
HILM
341
56
0
20 Dec 2022
On Improving Summarization Factual Consistency from Natural Language
  Feedback
On Improving Summarization Factual Consistency from Natural Language FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Yixin Liu
Budhaditya Deb
Milagro Teruel
Aaron L Halfaker
Dragomir R. Radev
Ahmed Hassan Awadallah
HILM
269
46
0
20 Dec 2022
Improving Factual Consistency in Summarization with Compression-Based
  Post-Editing
Improving Factual Consistency in Summarization with Compression-Based Post-EditingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Alexander R. Fabbri
Prafulla Kumar Choubey
Jesse Vig
Chien-Sheng Wu
Caiming Xiong
HILMKELM
362
21
0
11 Nov 2022
Improving abstractive summarization with energy-based re-ranking
Improving abstractive summarization with energy-based re-rankingIEEE Games Entertainment Media Conference (GEM), 2022
Diogo Pernes
Afonso Mendes
Marcely Zanon Boito
262
6
0
27 Oct 2022
Mutual Information Alleviates Hallucinations in Abstractive
  Summarization
Mutual Information Alleviates Hallucinations in Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Liam van der Poel
Robert Bamler
Clara Meister
HILM
355
83
0
24 Oct 2022
Towards Improving Faithfulness in Abstractive Summarization
Towards Improving Faithfulness in Abstractive SummarizationNeural Information Processing Systems (NeurIPS), 2022
Preslav Nakov
Mingzhe Li
Xin Gao
Xiangliang Zhang
HILM
261
35
0
04 Oct 2022
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long
  Document Extractive Summarization
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive SummarizationInternational Conference on Computational Linguistics (COLING), 2022
Qianqian Xie
Jimin Huang
Tulika Saha
Sophia Ananiadou
348
34
0
21 Aug 2022
An Empirical Survey on Long Document Summarization: Datasets, Models and
  Metrics
An Empirical Survey on Long Document Summarization: Datasets, Models and MetricsACM Computing Surveys (ACM CSUR), 2022
Huan Yee Koh
Jiaxin Ju
Ming Liu
Shirui Pan
309
167
0
03 Jul 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 GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Shashi Narayan
Gonccalo Simoes
Yao-Min Zhao
Joshua Maynez
Dipanjan Das
Michael Collins
Mirella Lapata
335
35
0
28 Mar 2022
Probing Factually Grounded Content Transfer with Factual Ablation
Probing Factually Grounded Content Transfer with Factual AblationFindings (Findings), 2022
Peter West
Chris Quirk
Michel Galley
Yejin Choi
HILM
358
9
0
18 Mar 2022
Faithfulness in Natural Language Generation: A Systematic Survey of
  Analysis, Evaluation and Optimization Methods
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Wei Li
Wenhao Wu
Moye Chen
Jiachen Liu
Xinyan Xiao
Hua Wu
HILM
404
38
0
10 Mar 2022
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation
  Practices for Generated Text
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated TextJournal of Artificial Intelligence Research (JAIR), 2022
Sebastian Gehrmann
Elizabeth Clark
Thibault Sellam
ELMAI4CE
775
230
0
14 Feb 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language GenerationACM Computing Surveys (ACM CSUR), 2022
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILMLRM
1.1K
4,067
0
08 Feb 2022
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in
  Abstractive Summarization
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization
Prafulla Kumar Choubey
Alexander R. Fabbri
Jesse Vig
Chien-Sheng Wu
Wenhao Liu
Nazneen Rajani
HILM
355
23
0
14 Oct 2021
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in
  Abstractive Summarization
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
Shuyang Cao
Lu Wang
HILM
232
208
0
19 Sep 2021
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