🔗 Who cites «QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions»

80 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions»

1. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,612 citations
2. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,444 citations
3. Evaluating Models' Local Decision Boundaries via Contrast SetsMatt Gardner, Yoav Artzi, Victoria Basmov, et al.2020 · 531 citations
4. Transformers as Soft Reasoners over LanguageInternational Joint Conference on Artificial IntelligencePeter Clark, Oyvind Tafjord, Kyle Richardson2020 · 382 citations
5. TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 324 citations
6. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
7. CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Qinyuan Ye, Bill Yuchen Lin, Xiang Ren2021 · 210 citations
8. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 172 citations
9. What to Pre-Train on? Efficient Intermediate Task SelectionConference on Empirical Methods in Natural Language Processing (EMNLP)Clifton Poth, Jonas Pfeiffer, Andreas Rücklé, et al.2021 · 132 citations
10. PRover: Proof Generation for Interpretable Reasoning over RulesConference on Empirical Methods in Natural Language Processing (EMNLP)Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, et al.2020 · 103 citations
11. Answering Questions by Meta-Reasoning over Multiple Chains of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP)Ori Yoran, Tomer Wolfson, Ben Bogin, et al.2023 · 99 citations
12. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mihir Parmar, Nisarg Patel, Neeraj Varshney, et al.2024 · 93 citations
13. Diagnosing the First-Order Logical Reasoning Ability Through LogicNLIConference on Empirical Methods in Natural Language Processing (EMNLP)Jidong Tian, Yitian Li, Wenqing Chen, et al.2021 · 86 citations
14. Rainier: Reinforced Knowledge Introspector for Commonsense Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Jiacheng Liu, Skyler Hallinan, Ximing Lu, et al.2022 · 82 citations
15. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation ResearcharXiv:2405.13576Jiajie Jin, Yutao Zhu, Guanting Dong, et al.2024 · 77 citations
16. Entailer: Answering Questions with Faithful and Truthful Chains of ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark2022 · 71 citations
17. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
18. Investigating the Effect of Pre-finetuning BERT Models on NLI Involving PresuppositionsFindings of the Association for Computational LinguisticsJad Kabbara, Jackie Cheung2023 · 2 citations

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