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Who cites Ben Zhou

720 citations of their works from 615 papers of our library (of the 149,439 whose bibliographies we read) · 92 with a page here, the most cited first · ← Ben Zhou

  1. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  2. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
  3. Are NLP Models really able to Solve Simple Math Word Problems?Arkil Patel, Satwik Bhattamishra, Navin Goyal2021 · 890 citations
  4. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
  5. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple SentencesDaniel Khashabi, Snigdha Chaturvedi, Michael Roth, et al.2018 · 677 citations
  6. Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 531 citations
  7. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
  8. The Hateful Memes Challenge: Detecting Hate Speech in Multimodal MemesarXiv:2005.04790Douwe Kiela, Hamed Firooz, Aravind Mohan, et al.2020 · 420 citations
  9. Aligning AI With Shared Human ValuesarXiv:2008.02275Dan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 395 citations
  10. Time-Aware Language Models as Temporal Knowledge BasesTransactions of the Association for Computational Linguistics (TACL)Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, et al.2022 · 349 citations
  11. Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityarXiv:2301.12867Terry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 249 citations
  12. XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language ModelsarXiv:2308.01263Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.2023 · 244 citations
  13. Reframing Instructional Prompts to GPTk's LanguageFindings of the Association for Computational LinguisticsSwaroop Mishra, Daniel Khashabi, Chitta Baral, et al.2022 · 242 citations
  14. Prompting GPT-3 To Be ReliablearXiv:2210.09150Chenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 210 citations
  15. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  16. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 172 citations
  17. Understanding tables with intermediate pre-trainingFindings of the Association for Computational LinguisticsJulian Eisenschlos, Syrine Krichene, Thomas Müller2020 · 158 citations
  18. TORQUE: A Reading Comprehension Dataset of Temporal Ordering QuestionsQiang Ning, Hao Wu, Rujun Han, et al.2020 · 152 citations
  19. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  20. Learning from Task DescriptionsConference on Empirical Methods in Natural Language Processing (EMNLP)Orion Weller, Nicholas Lourie, Matt Gardner, et al.2020 · 112 citations
  21. SPARTQA: A Textual Question Answering Benchmark for Spatial ReasoningRoshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.2021 · 95 citations
  22. VALUE: Understanding Dialect Disparity in NLUCaleb Ziems, Jiaao Chen, Camille Harris, et al.2022 · 67 citations
  23. Temporal Reasoning in Natural Language InferenceSiddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.2020 · 59 citations
  24. Massively Multi-Cultural Knowledge Acquisition & LM BenchmarkingarXiv:2402.09369Yi Fung, Ruining Zhao, Jae Doo, et al.2024 · 56 citations
  25. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
  26. SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language ModelsarXiv:2311.08370Bertie Vidgen, Nino Scherrer, Hannah Rose Kirk, et al.2023 · 42 citations
  27. NOPE: A Corpus of Naturally-Occurring Presuppositions in EnglishAlicia Parrish, Sebastian Schuster, Alex Warstadt, et al.2021 · 40 citations
  28. Timo: Towards Better Temporal Reasoning for Language ModelsarXiv:2406.14192Zhaochen Su, Jun Zhang, Tong Zhu, et al.2024 · 19 citations
  29. The Trickle-down Impact of Reward (In-)consistency on RLHFarXiv:2309.16155Lingfeng Shen, Sihao Chen, Linfeng Song, et al.2023 · 11 citations
  30. End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective BaselinearXiv:2107.01700Tuan Manh Lai, Trung Bui, Doo Soon Kim2021 · 8 citations
  31. Cutting Through the Noise: Boosting LLM Performance on Math Word ProblemsUjjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.2024 · 7 citations
  32. Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al.2023 · 5 citations
  33. Named Person Coreference in English NewsarXiv:1810.11476Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, et al.2018 · 3 citations

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