🏙️ Works of Research Triangle from 2022

7 works · the most cited first · ← Research Triangle

1. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
2. What Makes Good In-Context Examples for GPT-3?Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning ArchitecturesJiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,256 citations
3. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep LearningOSDI 2022Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.2022 · 279 citations
4. ASQA: Factoid Questions Meet Long-Form AnswersConference on Empirical Methods in Natural Language Processing (EMNLP)Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, et al.2022 · 245 citations
5. SummScreen: A Dataset for Abstractive Screenplay SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Mingda Chen, Zewei Chu, Sam Wiseman, et al.2022 · 136 citations
6. FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Wan, Mohit Bansal2022 · 101 citations
7. Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningFindings of the Association for Computational LinguisticsXiang Zhou, Yixin Nie, Mohit Bansal2022 · 36 citations

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