🔗 Who cites «Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation»

77 papers of our library cite it (of the 141,840 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation»

1. Scaling Instruction-Finetuned Language ModelsarXiv:2210.11416Hyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 3,339 citations
   Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language InferenceConference of the European Chapter of the Association for Computational Linguistics (EACL)Timo Schick, Hinrich Schütze2021 · 1,803 citations
2. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationarXiv:2212.12017Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 239 citations
3. PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning OptimizationarXiv:2306.05087Yidong Wang, Zhuohao Yu, Zhengran Zeng, et al.2023 · 192 citations
   Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
   Few-Shot Text Generation with Natural Language InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schütze2021 · 166 citations
   Explanations for CommonsenseQA: New Dataset and ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al.2021 · 163 citations
   SemEval-2020 Task 4: Commonsense Validation and ExplanationInternational Workshop on Semantic Evaluation (SemEval)Cunxiang Wang, Shuailong Liang, Yili Jin, et al.2020 · 157 citations
   Unified Demonstration Retriever for In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaonan Li, Kai Lv, Hang Yan, et al.2023 · 144 citations
   Few-Shot Self-Rationalization with Natural Language PromptsFindings of the Association for Computational LinguisticsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
   Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?Findings of the Association for Computational LinguisticsPeter Hase, Shiyue Zhang, Harry Xie, et al.2020 · 120 citations
   The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Seungone Kim, Se Joo, Doyoung Kim, et al.2023 · 116 citations
   NormBank: A Knowledge Bank of Situational Social NormsAnnual Meeting of the Association for Computational Linguistics (ACL)Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, et al.2023 · 66 citations
4. A Benchmark Arabic Dataset for Commonsense ExplanationarXiv:2012.10251Saja AL-Tawalbeh, Mohammad AL-Smadi2020 · 4 citations
5. Is this sentence valid? An Arabic Dataset for Commonsense ValidationarXiv:2008.10873Saja Tawalbeh, Mohammad AL-Smadi2020 · 4 citations

62 more papers of our library cite it; they have no page here yet.

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