RealTime QA: What's the Answer Right Now?

Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.

Fields: Other

Cited by

131 papers of our library cite it (of the 140673 whose bibliographies we read); 12 of them have a page here, 119 not yet.

• Gemini: A Family of Highly Capable Multimodal Models
• A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
• Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
• Survey of Hallucination in Natural Language Generation
• Tool Learning with Foundation Models
• Prompting GPT-3 To Be Reliable
• Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
• FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
• DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
• Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity
• IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
• ToolQA: A Dataset for LLM Question Answering with External Tools

Cite

The paper itself, not this page. BibTeX from the library's record of the work. DOI 10.48550/arxiv.2207.13332 · arXiv 2207.13332

@misc{kasai2022realtime,
  title = {{RealTime QA: What's the Answer Right Now?}},
  author = {Kasai, Jungo and Sakaguchi, Keisuke and Takahashi, Yoichi and Bras, Ronan Le and Asai, Akari and Yu, Xinyan and Radev, Dragomir and Smith, Noah A. and Choi, Yejin and Inui, Kentaro},
  year = {2022},
  doi = {10.48550/arxiv.2207.13332},
  eprint = {2207.13332},
  archivePrefix = {arXiv},
  url = {https://doi.org/10.48550/arxiv.2207.13332}
}

References

103 references, 15 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. James Allan, Rahul Gupta, and Vikas Khandelwal. 2001. Temporal summaries of new topics. In Proc. of SIGIR. find
2. James Allan, Ron Papka, and Victor Lavrenko. 1998. On-line new event detection and tracking. In Proc. of SIGIR. find
3. Jafar Ahmad Abed Alzubi, Rachna Jain, Anubhav Singh, Pritee Parwekar, and Meenu Gupta. 2021. COBERT: COVID-19 question answering system using BERT. Arabian Journal for Science and Engineering. find
4. Akari Asai, Jungo Kasai, Jonathan H Clark, Kenton Lee, Eunsol Choi, and Hannaneh Hajishirzi. 2021. XOR QA: Cross-lingual open-retrieval question answering. In Proc. of NAACL. find
5. Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, and Eunsol Choi. 2022. find
6. MIA 2022 shared task: Evaluating cross-lingual open-retrieval question answering for 16 diverse languages. In Proc. of MIA. find
7. Javed A. Aslam, Fernando Diaz, Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, and Tetsuya Sakai. 2015. find
8. TREC 2015 temporal summarization track overview. In Proc. of TREC. find
9. Javed A. Aslam, Matthew Ekstrand-Abueg, Virgil Pavlu, Fernando Diaz, Richard McCreadie, and Tetsuya Sakai. 2014. find
10. TREC 2014 temporal summarization track overview. In Proc. of TREC. find
11. Javed A. Aslam, Matthew Ekstrand-Abueg, Virgil Pavlu, Fernando Diaz, and Tetsuya Sakai. 2013. find
12. TREC 2013 temporal summarization. In Proc. of TREC. find
13. Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013. Semantic parsing on Freebase from question-answer pairs. In Proc. of EMNLP. find
14. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chri… find
15. Cody Buntain, Richard McCreadie, and Ian Soboroff. 2020. Incident streams 2020: TRECIS in the time of COVID-19. In Proc. of TREC. find
16. Roberta Catizone, Angelo Dalli, and Yorick Wilks. 2006. Evaluating automatically generated timelines from the web. In Proc. of LREC. find
17. Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017. Reading Wikipedia to answer open-domain questions. In Proc. of ACL. find our card
18. Danqi Chen and Wen-tau Yih. 2020. Open-domain question answering. In Proc. of ACL: Tutorial Abstracts. find
19. Wenhu Chen, Xinyi Wang, and William Yang Wang. 2021. A dataset for answering time-sensitive questions. In Proc. of NeurIPS Datasets and Benchmarks. find
20. Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, and Rui Yan. 2019. Learning towards abstractive timeline summarization. In Proc. of IJCAI. find
21. Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, and Jennimaria Palomaki. 2020. TyDi QA: A benchmark for information-seeking question answering in typologically diverse languages. TACL. find our card
22. Hoa Trang Dang and Karolina Owczarzak. 2008. Overview of the TAC 2008 update summarization task. In Proc. of TAC. find
23. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of deep bidirectional transformers for language understanding. In Proc. of NAACL. find
24. Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, and William W. Cohen. 2022. Time-aware language models as temporal knowledge bases. TACL. find
25. David Kirk Evans, Judith L. Klavans, and Kathleen R. McKeown. 2004. Columbia Newsblaster: Multilingual news summarization on the web. In Proc. of NAACL: Demonstrations. find
26. Katja Filippova, Mihai Surdeanu, Massimiliano Ciaramita, and Hugo Zaragoza. 2009. Company-oriented extractive summarization of financial news. In Proc. of EACL. find
27. Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hash… find
28. Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, D… find
29. Demian Gholipour Ghalandari and Georgiana Ifrim. 2020. Examining the state-of-the-art in news timeline summarization. In Proc. of ACL. find
30. Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J.F. Jones, and Marie-Francine Moens. 2017. find
31. ECIR 2017 workshop on exploitation of social media for emergency relief and preparedness (SMERP 2017). SIGIR Forum. find
32. Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020. REALM: Retrieval-augmented language model pre-training. In Proc. of ICML. find
33. Karl Moritz Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015. Teaching machines to read and comprehend. In Proc. of NeurIPS. find our card
34. Xiaolei Huang and Michael J. Paul. 2018. Examining temporality in document classification. In Proc. of ACL. find
35. Xiaolei Huang and Michael J. Paul. 2019. Neural temporality adaptation for document classification: Diachronic word embeddings and domain adaptation models. In Proc. of ACL. find
36. Muhammad Imran, Carlos Castillo, Fernando Diaz, and Sarah Vieweg. 2015. Processing social media messages in mass emergency: A survey. ACM Computing Surveys. find
37. Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, and Patrick Meier. 2013. Practical extraction of disaster-relevant information from social media. In Proc. of WWW. find
38. Muhammad Imran, Prasenjit Mitra, and Carlos Castillo. 2016. Twitter as a lifeline: Human-annotated Twitter corpora for NLP of crisis-related messages. In Proc. of LREC. find
39. Gautier Izacard and Edouard Grave. 2021. Leveraging passage retrieval with generative models for open domain question answering. In Proc. of EACL. find our card
40. Joel Jang, Seonghyeon Ye, Changho Lee, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, and Minjoon Seo. 2022a. TemporalWiki: A lifelong benchmark for training and evaluating ever-evolving language models. find
41. Joel Jang, Seonghyeon Ye, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Stanley Jungkyu Choi, and Minjoon Seo. 2022b. Towards continual knowledge learning of language models. In Proc. of ICLR. find
42. Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Strötgen, and Gerhard Weikum. 2018. TempQuestions: A benchmark for temporal question answering. In Companion of the WWW. find
43. Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer. 2017. TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension. In Proc. of ACL. find our card
44. Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020. Dense passage retrieval for open-domain question answering. In Proc. of EMNLP. find our card
45. Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, and Noah A. Smith. 2022. Bidimensional leaderboards: Generate and evaluate language hand in hand. In Proc. of NAACL. find
46. Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, and Adina Williams. 2021. Dyna… find
47. Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al. 2019. Natural questions: a benchmark for question answering research. TACL. find our card
48. Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, and Eduard Hovy. 2017. RACE: Large-scale ReAding comprehension dataset from examinations. In Proc. of EMNLP. find our card
49. Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, and Nikolai Grigorev. 2022. Internet-augmented language models through few-shot prompting for open-domain question answering. find our card
50. Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d’Autume, Tomás Kociský, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, and Phil Blunsom. 2021. Mind the gap: Assessing temporal generalization in neural langu… find
51. Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, WonJin Yoon, Yonghwa Choi, Miyoung Ko, and Jaewoo Kang. 2020. Answering questions on COVID-19 in real-time. In Proc. of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020. find
52. Kyungjae Lee, Wookje Han, Seung-won Hwang, Hwaran Lee, Joonsuk Park, and Sang-Woo Lee. 2022. Plug-and-play adaptation for continuously-updated QA. In Findings of the ACL: ACL 2022. find
53. Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020a. BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension. In Proc. of ACL. find our card
54. Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020b. Retrieval-augmented generation for knowledge-intensive NLP tasks. In Proc. of NeurIPS. find
55. Zhiwei Li, Bin Wang, Mingjing Li, and Wei-Ying Ma. 2005. A probabilistic model for retrospective news event detection. In Proc. of SIGIR. find
56. Jimmy Lin, Salman Mohammed, Royal Sequiera, Luchen Tan, Nimesh Ghelani, Mustafa Abualsaud, Richard McCreadie, Dmitrijs Milajevs, and Ellen M. Voorhees. 2017. Overview of the TREC 2017 real-time summarization track. In Proc. of TREC. find
57. Jimmy Lin, Adam Roegiest, Luchen Tan, Richard McCreadie, Ellen M. Voorhees, and Fernando Diaz. 2016. Overview of the TREC 2016 real-time summarization track. In Proc. of TREC. find
58. Adam Liška, Tomáš Kočiský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d’Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon Sophia Austin, Phil Blunsom, and Angeliki Lazaridou. 2022. StreamingQA: A benchmark for adaptation to new knowled… find
59. Shayne Longpre, Yi Lu, and Joachim Daiber. 2021a. MKQA: A linguistically diverse benchmark for multilingual open domain question answering. TACL. find
60. Shayne Longpre, Kartik Perisetla, Anthony Chen, Nikhil Ramesh, Chris DuBois, and Sameer Singh. 2021b. Entity-based knowledge conflicts in question answering. In Proc. of EMNLP. find our card
61. Kelvin Luu, Daniel Khashabi, Suchin Gururangan, Karishma Mandyam, and Noah A. Smith. 2022. Time waits for no one! analysis and challenges of temporal misalignment. In Proc. of NAACL. find
62. Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, and Douwe Kiela. 2021. Dynaboard: An evaluation-as-a-service platform for holistic next-generation benchmarking. In Proc. of NeurIPS. find
63. Sebastian Martschat and Katja Markert. 2017. Improving ROUGE for timeline summarization. In Proc. of EACL. find
64. Sebastian Martschat and Katja Markert. 2018. A temporally sensitive submodularity framework for timeline summarization. In Proc. of CoNLL. find
65. Richard McCreadie, Cody Buntain, and Ian Soboroff. 2019. TREC incident streams: Finding actionable information on social media. In Proc. of ISCRAM. find
66. Kathleen McKeown, Regina Barzilay, John Chen, David Elson, David Evans, Judith Klavans, Ani Nenkova, Barry Schiffman, and Sergey Sigelman. 2003. Columbia’s newsblaster: New features and future directions. In Proc. of NAACL: Demonstrations. find
67. Kathleen R. McKeown, Regina Barzilay, David Evans, Vasileios Hatzivassiloglou, Judith L. Klavans, Ani Nenkova, Carl Sable, Barry Schiffman, and Sergey Sigelman. 2002. Tracking and summarizing news on a daily basis with Columbia’s Newsblaster. In Proc. of HLT. find
68. Sewon Min, Danqi Chen, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2019. Knowledge guided text retrieval and reading for open domain question answering. find
69. Swaroop Mishra and Anjana Arunkumar. 2021. How robust are model rankings : A leaderboard customization approach for equitable evaluation. In Proc. of AAAI. find
70. Timo Möller, Anthony Reina, Raghavan Jayakumar, and Malte Pietsch. 2020. COVID-QA: A question answering dataset for COVID-19. In Proc. of the 1st Workshop on NLP for COVID-19 at ACL 2020. find
71. Dat Tien Nguyen, Kamla Al-Mannai, Shafiq R. Joty, Hassan Sajjad, Muhammad Imran, and Prasenjit Mitra. 2016. Rapid classification of crisis-related data on social networks using convolutional neural networks. In Proc. of ICWSM. find
72. Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, and Greg Durrett. 2022. Entity cloze by date: What LMs know about unseen entities. In Findings of the ACL: NAACL 2022. find
73. Arian Pasquali, Ricardo Campos, Alexandre Ribeiro, Brenda Santana, Alípio Jorge, and Adam Jatowt. 2021. TLS-Covid19: A new annotated corpus for timeline summarization. In Advances in Information Retrieval. find
74. Tatiana Passali, Alexios Gidiotis, Efstathios Chatzikyriakidis, and Grigorios Tsoumakas. 2021. Towards human-centered summarization: A case study on financial news. In Proc. of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing. find
75. Christopher Potts, Zhengxuan Wu, Atticus Geiger, and Douwe Kiela. 2021. DynaSent: A dynamic benchmark for sentiment analysis. In Proc. of ACL. find
76. Dragomir R. Radev, Sasha Blair-Goldensohn, Zhu Zhang, and Revathi Sundara Raghavan. 2001. NewsInEssence: A system for domain-independent, real-time news clustering and multi-document summarization. In Proc. of HLT. find
77. Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020. Exploring the limits of transfer learning with a unified text-to-text transformer. JMLR. find
78. Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018. Know what you don’t know: Unanswerable questions for SQuAD. In Proc. of ACL. find our card
79. Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016. SQuAD: 100,000+ questions for machine comprehension of text. In Proc. of EMNLP. find our card
80. Matthew Richardson, Christopher J.C. Burges, and Erin Renshaw. 2013. MCTest: A challenge dataset for the open-domain machine comprehension of text. In Proc. of EMNLP. find our card
81. Adam Roberts, Colin Raffel, and Noam Shazeer. 2020. How much knowledge can you pack into the parameters of a language model? In Proc. of EMNLP. find
82. Paul Röttger and Janet Pierrehumbert. 2021. Temporal adaptation of BERT and performance on downstream document classification: Insights from social media. In Findings of the ACL: EMNLP 2021. find
83. Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020. WinoGrande: An adversarial Winograd schema challenge at scale. In Proc. of AAAI. find
84. Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi, and Hannaneh Hajishirzi. 2019. Real-time open-domain question answering with dense-sparse phrase index. In Proc. of ACL. find
85. Royal Sequiera, Luchen Tan, and Jimmy Lin. 2018. Overview of the TREC 2018 real-time summarization track. In Proc. of TREC. find
86. Lidan Shou, Zhenhua Wang, Ke Chen, and Gang Chen. 2013. Sumblr: Continuous summarization of evolving tweet streams. In Proc. of SIGIR. find
87. Alon Talmor, Jonathan Herzig, Nicholas Lourie, and Jonathan Berant. 2019. CommonsenseQA: A question answering challenge targeting commonsense knowledge. In Proc. of NAACL. find
88. Irina Temnikova, Andrea Varga, and Dogan Biyikli. 2014. Building a crisis management term resource for social media: The case of floods and protests. In Proc. of LREC. find
89. Tristan Thrush, Kushal Tirumala, Anmol Gupta, Max Bartolo, Pedro Rodriguez, Tariq Kane, William Gaviria Rojas, Peter Mattson, Adina Williams, and Douwe Kiela. 2022. Dynatask: A framework for creating dynamic AI benchmark tasks. In Proc. of ACL: System Demonstrations. find
90. Giang Tran, Mohammad Alrifai, and Eelco Herder. 2015. Timeline summarization from relevant headlines. In Advances in Information Retrieval. find
91. Giang Binh Tran, Mohammad Alrifai, and Dat Quoc Nguyen. 2013. Predicting relevant news events for timeline summaries. In Proc. of WWW Companion. find
92. Lu Wang, Claire Cardie, and Galen Marchetti. 2015. Socially-informed timeline generation for complex events. In Proc. of NAACL. find
93. Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Doug Burdick, Darrin Eide, Kathryn Funk, Yannis Katsis, Rodney Michael Kinney, Yunyao Li, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wad… find
94. Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, and Bing Xiang. 2019. Multi-passage BERT: A globally normalized BERT model for open-domain question answering. In Proc. of EMNLP. find
95. René Witte, Ralf Krestel, and Sabine Bergler. 2007. Generating update summaries for DUC 2007. In Proc. of DUC. find
96. Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoe… find our card
97. Rui Yan, Liang Kong, Congrui Huang, Xiaojun Wan, Xiaoming Li, and Yan Zhang. 2011a. Timeline generation through evolutionary trans-temporal summarization. In Proc. of EMNLP. find
98. Rui Yan, Xiaojun Wan, Mirella Lapata, Wayne Xin Zhao, Pu-Jen Cheng, and Xiaoming Li. 2012. Visualizing timelines: Evolutionary summarization via iterative reinforcement between text and image streams. In Proc. of CIKM. find
99. Rui Yan, Xiaojun Wan, Jahna Otterbacher, Liang Kong, Xiaoming Li, and Yan Zhang. 2011b. Evolutionary timeline summarization: A balanced optimization framework via iterative substitution. In Proc. of SIGIR. find
100. Rowan Zellers, Yonatan Bisk, Roy Schwartz, and Yejin Choi. 2018. SWAG: A large-scale adversarial dataset for grounded commonsense inference. In Proc. of EMNLP. find
101. Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, and Yejin Choi. 2019. HellaSwag: Can a machine really finish your sentence? In Proc. of ACL. find
102. Michael J.Q. Zhang and Eunsol Choi. 2021. SituatedQA: Incorporating extra-linguistic contexts into QA. In Proc. of EMNLP. find
103. Xinyu Zhang, Xueguang Ma, Peng Shi, and Jimmy Lin. 2021. Mr. TyDi: A multi-lingual benchmark for dense retrieval. In Proc. of MRL. find