Demoting the Lead Bias in News Summarization via Alternating Adversarial
Learning

Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning

Annual Meeting of the Association for Computational Linguistics (ACL), 2021

29 May 2021

Giuseppe Carenini

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Papers citing "Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning"

9 / 9 papers shown

Title
Understanding Position Bias Effects on Fairness in Social Multi-Document SummarizationWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial), 2024 Olubusayo Olabisi Ameeta Agrawal 145 1 0 03 May 2024
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position BiasNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Anshuman Chhabra Hadi Askari Prasant Mohapatra 276 23 0 03 Jan 2024
Self-Supervised Position Debiasing for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Zhongkun Liu Zheng Chen Mengqi Zhang Zhaochun Ren Sudipta Singha Roy Zhumin Chen 150 2 0 02 Jan 2024
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 104 0 0 15 Nov 2023
A Suite of Generative Tasks for Multi-Level Multimodal Webpage UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Andrea Burns Krishna Srinivasan Joshua Ainslie Geoff Brown Bryan A. Plummer Kate Saenko Jianmo Ni Mandy Guo 3DV 126 14 0 05 May 2023
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 John Giorgi Luca Soldaini Bo Wang Gary D. Bader Kyle Lo Lucy Lu Wang Arman Cohan 159 21 0 20 Dec 2022
Re-Examining System-Level Correlations of Automatic Summarization Evaluation MetricsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Daniel Deutsch Rotem Dror Dan Roth 97 47 0 21 Apr 2022
Towards Understanding Large-Scale Discourse Structures in Pre-Trained and Fine-Tuned Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Patrick Huber Giuseppe Carenini 92 11 0 08 Apr 2022
Modeling Endorsement for Multi-Document Abstractive Summarization Logan Lebanoff Bingqing Wang Z. Feng Fei Liu 499 4 0 15 Oct 2021