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    @inproceedings{yang2018hotpotqa,
      title={HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering},
      author={Yang, Zhilin and Qi, Peng and Zhang, Saizheng and Bengio, Yoshua and Cohen, William and Salakhutdinov, Ruslan and Manning, Christopher D},
      booktitle={Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
      pages={2369--2380},
      year={2018}
    }
    
    @inproceedings{ho2020constructing,
      title={Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps},
      author={Ho, Xanh and Nguyen, Anh-Khoa Duong and Sugawara, Saku and Aizawa, Akiko},
      booktitle={Proceedings of the 28th International Conference on Computational Linguistics},
      pages={6609--6625},
      year={2020}
    }
    
    @article{trivedi2022musique,
      title={♫ MuSiQue: Multihop Questions via Single-hop Question Composition},
      author={Trivedi, Harsh and Balasubramanian, Niranjan and Khot, Tushar and Sabharwal, Ashish},
      journal={Transactions of the Association for Computational Linguistics},
      volume={10},
      pages={539--554},
      year={2022},
      publisher={MIT Press One Broadway, 12th Floor, Cambridge, Massachusetts 02142, USA~…}
    }
    
    @article{he2018dureader,
      title={DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications},
      author={He, Wei and Liu, Kai and Liu, Jing and Lyu, Yajuan and Zhao, Shiqi and Xiao, Xinyan and Liu, Yuan and Wang, Yizhong and Wu, Hua and She, Qiaoqiao and others},
      journal={ACL 2018},
      pages={37},
      year={2018}
    }
    
    @article{kovcisky2018narrativeqa,
      title={The narrativeqa reading comprehension challenge},
      author={Ko{\v{c}}isk{\`y}, Tom{\'a}{\v{s}} and Schwarz, Jonathan and Blunsom, Phil and Dyer, Chris and Hermann, Karl Moritz and Melis, G{\'a}bor and Grefenstette, Edward},
      journal={Transactions of the Association for Computational Linguistics},
      volume={6},
      pages={317--328},
      year={2018},
      publisher={MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info~…}
    }
    
    @inproceedings{dasigi2021dataset,
      title={A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers},
      author={Dasigi, Pradeep and Lo, Kyle and Beltagy, Iz and Cohan, Arman and Smith, Noah A and Gardner, Matt},
      booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
      pages={4599--4610},
      year={2021}
    }
    
    @inproceedings{huang2021efficient,
      title={Efficient Attentions for Long Document Summarization},
      author={Huang, Luyang and Cao, Shuyang and Parulian, Nikolaus and Ji, Heng and Wang, Lu},
      booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
      pages={1419--1436},
      year={2021}
    }
    
    @inproceedings{zhong2021qmsum,
      title={QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization},
      author={Zhong, Ming and Yin, Da and Yu, Tao and Zaidi, Ahmad and Mutuma, Mutethia and Jha, Rahul and Hassan, Ahmed and Celikyilmaz, Asli and Liu, Yang and Qiu, Xipeng and others},
      booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
      pages={5905--5921},
      year={2021}
    }
    
    @article{wu2023vcsum,
      title={VCSUM: A Versatile Chinese Meeting Summarization Dataset},
      author={Wu, Han and Zhan, Mingjie and Tan, Haochen and Hou, Zhaohui and Liang, Ding and Song, Linqi},
      journal={arXiv preprint arXiv:2305.05280},
      year={2023}
    }
    
    @inproceedings{joshi2017triviaqa,
      title={TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension},
      author={Joshi, Mandar and Choi, Eunsol and Weld, Daniel S and Zettlemoyer, Luke},
      booktitle={Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
      pages={1601--1611},
      year={2017}
    }
    
    
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    @article{gliwa2019samsum,
      title={SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization},
      author={Gliwa, Bogdan and Mochol, Iwona and Biesek, Maciej and Wawer, Aleksander},
      journal={EMNLP-IJCNLP 2019},
      pages={70},
      year={2019}
    }
    
    @inproceedings{fabbri2019multi,
      title={Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model},
      author={Fabbri, Alexander Richard and Li, Irene and She, Tianwei and Li, Suyi and Radev, Dragomir},
      booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
      pages={1074--1084},
      year={2019}
    
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    }
    
    @inproceedings{li2002learning,
      title={Learning question classifiers},
      author={Li, Xin and Roth, Dan},
      booktitle={COLING 2002: The 19th International Conference on Computational Linguistics},
      year={2002}
    }
    
    @article{guo2023longcoder,
      title={LongCoder: A Long-Range Pre-trained Language Model for Code Completion},
      author={Guo, Daya and Xu, Canwen and Duan, Nan and Yin, Jian and McAuley, Julian},
      journal={arXiv preprint arXiv:2306.14893},
      year={2023}
    }
    
    @article{liu2023repobench,
      title={RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems},
      author={Liu, Tianyang and Xu, Canwen and McAuley, Julian},
      journal={arXiv preprint arXiv:2306.03091},
      year={2023}
    }