🧑‍🔬 Who cites Andrew Mattarella-Micke

152 citations of their works from 152 papers of our library (of the 141,840 whose bibliographies we read) · 19 with a page here, the most cited first · ← Andrew Mattarella-Micke

1. Lost in the Middle: How Language Models Use Long ContextsTransactions of the Association for Computational Linguistics (TACL)Nelson F. Liu, Kevin Lin, John Hewitt, et al.2023 · 2,541 citations
2. Multitask Prompted Training Enables Zero-Shot Task GeneralizationarXiv:2110.08207Victor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,581 citations
3. The Flan Collection: Designing Data and Methods for Effective Instruction TuningarXiv:2301.13688Shayne Longpre, Le Hou, Tu Vu, et al.2023 · 592 citations
4. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingarXiv:2308.14508Yushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 506 citations
5. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 376 citations
6. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 302 citations
7. Personality Traits in Large Language ModelsarXiv:2307.00184Greg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
8. Parameter-efficient Multi-task Fine-tuning for Transformers via Shared HypernetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani, et al.2021 · 250 citations
9. 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
10. RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalarXiv:2401.18059Parth Sarthi, Salman Abdullah, Aditi Tuli, et al.2024 · 191 citations
11. Merging Models with Fisher-Weighted AveragingConference on Neural Information Processing Systems (NeurIPS)Michael Matena, Colin Raffel2021 · 191 citations
12. SCROLLS: Standardized CompaRison Over Long Language SequencesConference on Empirical Methods in Natural Language Processing (EMNLP)Uri Shaham, Elad Segal, Maor Ivgi, et al.2022 · 162 citations
13. L-Eval: Instituting Standardized Evaluation for Long Context Language ModelsarXiv:2307.11088Chenxin An, Shansan Gong, Ming Zhong, et al.2023 · 160 citations
14. 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
15. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 121 citations
16. English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer TooConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Jason Phang, Iacer Calixto, Phu Mon Htut, et al.2020 · 70 citations
17. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
18. BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Zican Dong, Tianyi Tang, Junyi Li, et al.2024 · 59 citations
19. No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kellen Tan Cheng, Suma Bhat2024 · 3 citations

133 more citing papers of our library have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/andrew-mattarella-micke/cited-by/