@inproceedings{chesney2017incongruent,
  title={Incongruent headlines: Yet another way to mislead your readers},
  author={Chesney, Sophie and Liakata, Maria and Poesio, Massimo and Purver, Matthew},
  booktitle={Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism},
  publisher= {Association for Computational Linguistics},
  address= {Copenhagen, Denmark},
  pages={56--61},
  year={2017}
}
@article{wang2021fake,
  title={Fake News Detection: Misleading Headlines and Satire},
  author={Wang, Andrew and Guo, Phillip and Wong, Ethan},
  journal={International Journal of Computational and Biological Intelligent Systems},
  volume={3},
  number={2},
  year={2021}
}

@inproceedings{ding2023harnessing,
  title={Harnessing the power of LLMs: Evaluating human-AI text co-creation through the lens of news headline generation},
  author={Ding, Zijian and Smith-Renner, Alison and Zhang, Wenjuan and Tetreault, Joel and Jaimes, Alejandro},
  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
  pages={3321--3339},
  year={2023}
}
@article{basyal2023text,
  title={Text Summarization Using Large Language Models: A Comparative Study of MPT-7b-instruct, Falcon-7b-instruct, and OpenAI Chat-GPT Models},
  author={Basyal, Lochan and Sanghvi, Mihir},
  journal={arXiv preprint arXiv:2310.10449},
  year={2023}
}
@inproceedings{nallapati-etal-2016-abstractive,
    title = "Abstractive Text Summarization using Sequence-to-sequence {RNN}s and Beyond",
    author = "Nallapati, Ramesh  and
      Zhou, Bowen  and
      dos Santos, Cicero  and
      Gu̇l{\c{c}}ehre, {\c{C}}a{\u{g}}lar  and
      Xiang, Bing",
    editor = "Riezler, Stefan  and
      Goldberg, Yoav",
    booktitle = "Proceedings of the 20th {SIGNLL} Conference on Computational Natural Language Learning",
    month = aug,
    year = "2016",
    address = "Berlin, Germany",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/K16-1028",
    doi = "10.18653/v1/K16-1028",
    pages = "280--290",
}
@article{knight2000statistics,
  title={Statistics-based summarization-step one: Sentence compression},
  author={Knight, Kevin and Marcu, Daniel},
  journal={AAAI/IAAI},
  volume={2000},
  pages={703--710},
  year={2000}
}
@article{mckeown1999towards,
  title={Towards multidocument summarization by reformulation: Progress and prospects},
  author={McKeown, Kathleen and Klavans, Judith L and Hatzivassiloglou, Vasileios and Barzilay, Regina and Eskin, Eleazar},
  year={1999}
}
@article{kantrowitz1999selecting,
  title={Selecting Text Spans for Document Summaries: Heuristics and Metrics},
  author={Kantrowitz, Vibhu Mittal Mark and Goldstein, Jade and Carbonell, Jaime},
  year={1999}
}
@article{radev1998generating,
  title={Generating Natural Language Summaries from Multiple On-Line Sources},
  author={Radev, Dragomir and Mckeown, Kathleen},
  journal={Computational Linguistics},
  volume={24},
  number={3},
  pages={469--500},
  year={1998}
}




@inproceedings{rush2015neural,
  title={A neural attention model for sentence summarization},
  author={Rush, Alexander M and Chopra, Sumit and Weston, Jason},
  booktitle={Conference on Empirical Methods in Natural Language Processing, EMNLP 2015},
  pages={379--389},
  year={2015},
  organization={Association for Computational Linguistics (ACL)}
}
@inproceedings{ranzato2016sequence,
  title={Sequence level training with recurrent neural networks},
  author={Ranzato, Marc’Aurelio and Chopra, Sumit and Auli, Michael and Zaremba, Wojciech},
  booktitle={4th International Conference on Learning Representations, ICLR 2016},
  year={2016}
}
@inproceedings{chopra2016abstractive,
  title={Abstractive sentence summarization with attentive recurrent neural networks},
  author={Chopra, Sumit and Auli, Michael and Rush, Alexander M},
  booktitle={Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: human language technologies},
  pages={93--98},
  year={2016}
}
@inproceedings{chen2016distraction,
  title={Distraction-Based Neural Networks for Modeling Document.},
  author={Chen, Qian and Zhu, Xiao-Dan and Ling, Zhen-Hua and Wei, Si and Jiang, Hui},
  booktitle={IJCAI},
  volume={16},
  pages={2754--2760},
  year={2016}
}
@inproceedings{nallapati2016abstractive,
  title={Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond},
  author={Nallapati, Ramesh and Zhou, Bowen and dos Santos, Cicero and Gu̇l{\c{c}}ehre, {\c{C}}a{\u{g}}lar and Xiang, Bing},
  booktitle={Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning},
  pages={280--290},
  year={2016}
}
@article{shi2021neural,
  title={Neural abstractive text summarization with sequence-to-sequence models},
  author={Shi, Tian and Keneshloo, Yaser and Ramakrishnan, Naren and Reddy, Chandan K},
  journal={ACM Transactions on Data Science},
  volume={2},
  number={1},
  pages={1--37},
  year={2021},
  publisher={ACM New York, NY, USA}
}
@inproceedings{lin2015hierarchical,
  title={Hierarchical recurrent neural network for document modeling},
  author={Lin, Rui and Liu, Shujie and Yang, Muyun and Li, Mu and Zhou, Ming and Li, Sheng},
  booktitle={Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  pages={899--907},
  year={2015}
}
@inproceedings{chen-etal-2020-exclusive,
    title = "Exclusive Hierarchical Decoding for Deep Keyphrase Generation",
    author = "Chen, Wang  and
      Chan, Hou Pong  and
      Li, Piji  and
      King, Irwin",
    editor = "Jurafsky, Dan  and
      Chai, Joyce  and
      Schluter, Natalie  and
      Tetreault, Joel",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.acl-main.103",
    doi = "10.18653/v1/2020.acl-main.103",
    pages = "1095--1105",
   
}
@inproceedings{spithourakis2018numeracy,
  title={Numeracy for language models: Evaluating and improving their ability to predict numbers},
  author={Spithourakis, GP and Riedel, S},
  booktitle={ACL 2018-56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)},
  volume={56},
  pages={2104--2115},
  year={2018},
  organization={Association for Computational Linguistics}
}
@inproceedings{wallace2019nlp,
  title={Do NLP Models Know Numbers? Probing Numeracy in Embeddings},
  author={Wallace, Eric and Wang, Yizhong and Li, Sujian and Singh, Sameer and Gardner, Matt},
  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  pages={5307--5315},
  year={2019}
}
@inproceedings{chen2019numeracy,
  title={Numeracy-600K: Learning numeracy for detecting exaggerated information in market comments},
  author={Chen, Chung-Chi and Huang, Hen-Hsen and Takamura, Hiroya and Chen, Hsin-Hsi},
  booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  pages={6307--6313},
  year={2019}
}

@inproceedings{paulus2018deep,
  title={A Deep Reinforced Model for Abstractive Summarization},
  author={Paulus, Romain and Xiong, Caiming and Socher, Richard},
  booktitle={International Conference on Learning Representations},
  year={2018}
}
@article{rothe2020leveraging,
  title={Leveraging pre-trained checkpoints for sequence generation tasks},
  author={Rothe, Sascha and Narayan, Shashi and Severyn, Aliaksei},
  journal={Transactions of the Association for Computational Linguistics},
  volume={8},
  pages={264--280},
  year={2020},
  publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
}

@inproceedings{lewis2020bart,
  title={BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension},
  author={Lewis, Mike and Liu, Yinhan and Goyal, Naman and Ghazvininejad, Marjan and Mohamed, Abdelrahman and Levy, Omer and Stoyanov, Veselin and Zettlemoyer, Luke},
  booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
  pages={7871--7880},
  year={2020}
}
@article{song2019abstractive,
  title={Abstractive text summarization using LSTM-CNN based deep learning},
  author={Song, Shengli and Huang, Haitao and Ruan, Tongxiao},
  journal={Multimedia Tools and Applications},
  volume={78},
  pages={857--875},
  year={2019},
  publisher={Springer}
}

@article{radford2019language,
  title={Language Models are Unsupervised Multitask Learners},
  author={Radford, Alec and Wu, Jeff and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya},
  year={2019}
}
@article{raffel2020exploring,
  title={Exploring the limits of transfer learning with a unified text-to-text transformer},
  author={Raffel, Colin and Shazeer, Noam and Roberts, Adam and Lee, Katherine and Narang, Sharan and Matena, Michael and Zhou, Yanqi and Li, Wei and Liu, Peter J},
  journal={The Journal of Machine Learning Research},
  volume={21},
  number={1},
  pages={5485--5551},
  year={2020},
  publisher={JMLRORG}
}
@article{li2022news,
  title={News headline generation based on improved decoder from transformer},
  author={Li, Zhengpeng and Wu, Jiansheng and Miao, Jiawei and Yu, Xinmiao},
  journal={Scientific Reports},
  volume={12},
  number={1},
  pages={11648},
  year={2022},
  publisher={Nature Publishing Group UK London}
}

@article{dong2022survey,
  title={A survey for in-context learning},
  author={Dong, Qingxiu and Li, Lei and Dai, Damai and Zheng, Ce and Wu, Zhiyong and Chang, Baobao and Sun, Xu and Xu, Jingjing and Sui, Zhifang},
  journal={arXiv preprint arXiv:2301.00234},
  year={2022}
}
@inproceedings{reynolds2021prompt,
  title={Prompt programming for large language models: Beyond the few-shot paradigm},
  author={Reynolds, Laria and McDonell, Kyle},
  booktitle={Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems},
  pages={1--7},
  year={2021}
}
@article{van2023enhancing,
  title={Enhancing Summarization Performance through Transformer-Based Prompt Engineering in Automated Medical Reporting},
  author={van Zandvoort, Daphne and Wiersema, Laura and Huibers, Tom and van Dulmen, Sandra and Brinkkemper, Sjaak},
  journal={arXiv preprint arXiv:2311.13274},
  year={2023}
}
@inproceedings{luo2022few,
  title={Few-shot Table-to-text Generation with Prefix-Controlled Generator},
  author={Luo, Yutao and Lu, Menghua and Liu, Gongshen and Wang, Shilin},
  booktitle={Proceedings of the 29th International Conference on Computational Linguistics},
  pages={6493--6504},
  year={2022}
}

@inproceedings{schick2021few,
  title={Few-shot text generation with natural language instructions},
  author={Schick, Timo and Sch{\"u}tze, Hinrich},
  booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
  pages={390--402},
  year={2021}
}
@article{touvron2023llama,
  title={Llama: Open and efficient foundation language models},
  author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and others},
  journal={arXiv preprint arXiv:2302.13971},
  year={2023}
}
@article{radford2018improving,
  title={Improving language understanding by generative pre-training},
  author={Radford, Alec and Narasimhan, Karthik and Salimans, Tim and Sutskever, Ilya and others},
  year={2018},
  publisher={OpenAI}
}

@article{radford2018improving,
  title={Improving language understanding by generative pre-training},
  author={Radford, Alec and Narasimhan, Karthik and Salimans, Tim and Sutskever, Ilya and others},
  year={2018},
  publisher={OpenAI}
}
@article{devlin2018bert,
  title={Bert: Pre-training of deep bidirectional transformers for language understanding},
  author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
  journal={arXiv preprint arXiv:1810.04805},
  year={2018}
}
@article{lewis2019bart,
  title={Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension},
  author={Lewis, Mike and Liu, Yinhan and Goyal, Naman and Ghazvininejad, Marjan and Mohamed, Abdelrahman and Levy, Omer and Stoyanov, Ves and Zettlemoyer, Luke},
  journal={arXiv preprint arXiv:1910.13461},
  year={2019}
}
@article{liu2019roberta,
  title={Roberta: A robustly optimized bert pretraining approach},
  author={Liu, Yinhan and Ott, Myle and Goyal, Naman and Du, Jingfei and Joshi, Mandar and Chen, Danqi and Levy, Omer and Lewis, Mike and Zettlemoyer, Luke and Stoyanov, Veselin},
  journal={arXiv preprint arXiv:1907.11692},
  year={2019}
}
@article{raffel2020exploring,
  title={Exploring the limits of transfer learning with a unified text-to-text transformer},
  author={Raffel, Colin and Shazeer, Noam and Roberts, Adam and Lee, Katherine and Narang, Sharan and Matena, Michael and Zhou, Yanqi and Li, Wei and Liu, Peter J},
  journal={The Journal of Machine Learning Research},
  volume={21},
  number={1},
  pages={5485--5551},
  year={2020},
  publisher={JMLRORG}
}
@article{nallapati2016abstractive,
  title={Abstractive text summarization using sequence-to-sequence rnns and beyond},
  author={Nallapati, Ramesh and Zhou, Bowen and Gulcehre, Caglar and Xiang, Bing and others},
  journal={arXiv preprint arXiv:1602.06023},
  year={2016}
}
@article{huang2023numhg,
  title={NumHG: A Dataset for Number-Focused Headline Generation},
  author={Huang, Jian-Tao and Chen, Chung-Chi and Huang, Hen-Hsen and Chen, Hsin-Hsi},
  journal={arXiv preprint arXiv:2309.01455},
  year={2023}
}
@inproceedings{lin-2004-rouge,
    title = "{ROUGE}: A Package for Automatic Evaluation of Summaries",
    author = "Lin, Chin-Yew",
    booktitle = "Text Summarization Branches Out",
    month = jul,
    year = "2004",
    address = "Barcelona, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W04-1013",
    pages = "74--81",
}
@inproceedings{bert-score,
  title={BERTScore: Evaluating Text Generation with BERT},
  author={Tianyi Zhang* and Varsha Kishore* and Felix Wu* and Kilian Q. Weinberger and Yoav Artzi},
  booktitle={International Conference on Learning Representations},
  year={2020},
  url={https://openreview.net/forum?id=SkeHuCVFDr}
}
@inproceedings{zhao2019moverscore,
  title={MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance},
  author={Zhao, Wei and Peyrard, Maxime and Liu, Fei and Gao, Yang and Meyer, Christian M and Eger, Steffen},
  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year={2019}
}
@inproceedings{chesney2017incongruent,
  title={Incongruent headlines: Yet another way to mislead your readers},
  author={Chesney, Sophie and Liakata, Maria and Poesio, Massimo and Purver, Matthew},
  booktitle={Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism},
  publisher= {Association for Computational Linguistics},
  address= {Copenhagen, Denmark},
  pages={56--61},
  year={2017}
}
@article{kumar2023gated,
  title={Gated Recursive and Sequential Deep Hierarchical Encoding for Detecting Incongruent News Articles},
  author={Kumar, Sujit and Kumar, Durgesh and Singh, Sanasam Ranbir},
  journal={IEEE Transactions on Computational Social Systems},
  year={2023},
  publisher={IEEE}
}
@inproceedings{kumar2022detecting,
  title={Detecting Incongruent News Articles Using Multi-head Attention Dual Summarization},
  author={Kumar, Sujit and Kumar, Gaurav and Singh, Sanasam Ranbir},
  booktitle={Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing},
  pages={967--977},
  year={2022}
}
@inproceedings{naik2019exploring,
  title={Exploring numeracy in word embeddings},
  author={Naik, Aakanksha and Ravichander, Abhilasha and Rose, Carolyn and Hovy, Eduard},
  booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  pages={3374--3380},
  year={2019}
}

@inproceedings{wei2017learning,
  title={Learning to identify ambiguous and misleading news headlines},
  author={Wei, Wei and Wan, Xiaojun},
  booktitle={Proceedings of the 26th International Joint Conference on Artificial Intelligence},
  pages={4172--4178},
  year={2017}
}
@inproceedings{gabielkov2016social,
  title={Social clicks: What and who gets read on Twitter?},
  author={Gabielkov, Maksym and Ramachandran, Arthi and Chaintreau, Augustin and Legout, Arnaud},
  booktitle={Proceedings of the 2016 ACM SIGMETRICS international conference on measurement and modeling of computer science},
  pages={179--192},
  year={2016}
}
@article{tannenbaum1953effect,
  title={The effect of headlines on the interpretation of news stories},
  author={Tannenbaum, Percy H},
  journal={Journalism Quarterly},
  volume={30},
  number={2},
  pages={189--197},
  year={1953},
  publisher={SAGE Publications Sage CA: Los Angeles, CA}
}
@article{sutskever2014sequence,
  title={Sequence to sequence learning with neural networks},
  author={Sutskever, Ilya and Vinyals, Oriol and Le, Quoc V},
  journal={Advances in neural information processing systems},
  volume={27},
  year={2014}
}