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Attention-guided Generative Models for Extractive Question Answering

Attention-guided Generative Models for Extractive Question Answering

12 October 2021
Peng Xu
Davis Liang
Zhiheng Huang
Bing Xiang
ArXiv (abs)PDFHTML

Papers citing "Attention-guided Generative Models for Extractive Question Answering"

15 / 15 papers shown
Exploring Language Model Generalization in Low-Resource Extractive QA
Exploring Language Model Generalization in Low-Resource Extractive QAInternational Conference on Computational Linguistics (COLING), 2024
Saptarshi Sengupta
Wenpeng Yin
Preslav Nakov
Shreya Ghosh
Suhang Wang
278
5
0
27 Sep 2024
From Transformers to LLMs: A Systematic Survey of Efficiency Considerations in NLP
From Transformers to LLMs: A Systematic Survey of Efficiency Considerations in NLP
Wazib Ansar
Saptarsi Goswami
Amlan Chakrabarti
MedIm
414
12
0
15 May 2024
Enhancing Pre-Trained Generative Language Models with Question Attended
  Span Extraction on Machine Reading Comprehension
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension
Lin Ai
Zheng Hui
Zizhou Liu
Julia Hirschberg
199
2
0
27 Apr 2024
Adapting Pre-trained Generative Models for Extractive Question Answering
Adapting Pre-trained Generative Models for Extractive Question AnsweringIEEE Games Entertainment Media Conference (IEEE GEM), 2023
Prabir Mallick
Tapas Nayak
Indrajit Bhattacharya
167
10
0
06 Nov 2023
Blending Reward Functions via Few Expert Demonstrations for Faithful and
  Accurate Knowledge-Grounded Dialogue Generation
Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation
Wanyu Du
Yangfeng Ji
218
1
0
02 Nov 2023
Detrimental Contexts in Open-Domain Question Answering
Detrimental Contexts in Open-Domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Philhoon Oh
Hyunjung Shim
193
2
0
27 Oct 2023
Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
Who Are All The Stochastic Parrots Imitating? They Should Tell Us!International Joint Conference on Natural Language Processing (IJCNLP), 2023
Sagi Shaier
Lawrence E Hunter
Katharina von der Wense
228
5
0
16 Oct 2023
Fine-tuning and aligning question answering models for complex
  information extraction tasks
Fine-tuning and aligning question answering models for complex information extraction tasksInternational Conference on Knowledge Discovery and Information Retrieval (KDIR), 2023
Matthias Engelbach
Dennis Klau
Felix Scheerer
Jens Drawehn
Maximilien Kintz
139
7
0
26 Sep 2023
Learning Answer Generation using Supervision from Automatic Question
  Answering Evaluators
Learning Answer Generation using Supervision from Automatic Question Answering EvaluatorsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Matteo Gabburo
Siddhant Garg
Rik Koncel-Kedziorski
Alessandro Moschitti
232
8
0
24 May 2023
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
TextBox 2.0: A Text Generation Library with Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Tianyi Tang
Junyi Li
Zhongfu Chen
Yiwen Hu
Zhuohao Yu
...
Xiaoxue Cheng
Yuhao Wang
Wayne Xin Zhao
J. Nie
Ji-Rong Wen
124
9
0
26 Dec 2022
FiE: Building a Global Probability Space by Leveraging Early Fusion in
  Encoder for Open-Domain Question Answering
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Akhil Kedia
Mohd Abbas Zaidi
Haejun Lee
178
11
0
18 Nov 2022
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader
  Models
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Shujian Zhang
Chengyue Gong
Xingchao Liu
RALM
322
7
0
02 Nov 2022
Knowledge Transfer from Answer Ranking to Answer Generation
Knowledge Transfer from Answer Ranking to Answer GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Matteo Gabburo
Rik Koncel-Kedziorski
Siddhant Garg
Luca Soldaini
Alessandro Moschitti
125
8
0
23 Oct 2022
MVP: Multi-task Supervised Pre-training for Natural Language Generation
MVP: Multi-task Supervised Pre-training for Natural Language GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Tianyi Tang
Junyi Li
Wayne Xin Zhao
Ji-Rong Wen
289
29
0
24 Jun 2022
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
Akari Asai
Matt Gardner
Hannaneh Hajishirzi
RALM
277
55
0
16 Dec 2021
1