---
title: "Greater Boston — works of 2021: 29 papers, the most cited first"
description: "29 works of Greater Boston from 2021 in our library, the most cited first. Among them: Making Pre-trained Language Models Better Few-shot…"
canonical: "https://research.elamur.ai/free/en/agglomerations/greater-boston/year/2021/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/greater-boston/year/2021/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / [Greater Boston](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/) / 2021

# Works of Greater Boston from 2021

29 works · the most cited first · [← Greater Boston](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/)

1. **[Making Pre-trained Language Models Better Few-shot Learners](https://md.research.elamur.ai/free/en/papers/gao-2021-making-pre-trained-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Gao, Adam Fisch, Danqi Chen*2021 · 1,963 citations*
2. [**Multitask Prompted Training Enables Zero-Shot Task Generalization arXiv:2110.08207**Victor Sanh, Albert Webson, Colin Raffel, et al.*2021 · 1,581 citations*](https://md.research.elamur.ai/free/en/papers/sanh-2021-multitask-prompted-training-enables-zero/)
3. **[Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,552 citations*
4. **[StereoSet: Measuring stereotypical bias in pretrained language models](https://md.research.elamur.ai/free/en/papers/nadeem-2021-stereoset-measuring-stereotypical-bias-pretrained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Moin Nadeem, Anna Bethke, Siva Reddy*2021 · 1,132 citations*
5. **[GPT Understands, Too](https://md.research.elamur.ai/free/en/papers/liu-2021-gpt-understands-too/) [AI Open](https://md.research.elamur.ai/free/en/venues/ai-open/)**Xiao Liu, Yanan Zheng, Zhengxiao Du, et al.*2021 · 1,045 citations*
6. [**Show your work: Scratchpads for intermediate computation with language models***2021 · 452 citations*](https://md.research.elamur.ai/free/en/papers/al-2021-show-your-work-scratchpads-intermediate/)
7. **[MasakhaNER: Named Entity Recognition for African Languages](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.*2021 · 429 citations*
8. **[Parameter-Efficient Transfer Learning with Diff Pruning](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Demi Guo, Alexander Rush, Yoon Kim*2021 · 357 citations*
9. **[Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence](https://md.research.elamur.ai/free/en/papers/schuster-2021-get-your-vitamin-c-robust/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tal Schuster, Adam Fisch, Regina Barzilay*2021 · 289 citations*
10. [**Multimodal Few-Shot Learning with Frozen Language Models arXiv:2106.13884**Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.*2021 · 243 citations*](https://md.research.elamur.ai/free/en/papers/tsimpoukelli-2021-multimodal-few-shot-learning-frozen/)
11. **[Paragraph-level Simplification of Medical Texts](https://md.research.elamur.ai/free/en/papers/devaraj-2021-paragraph-level-simplification-medical-texts/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.*2021 · 140 citations*
12. **[Revisiting the Uniform Information Density Hypothesis](https://md.research.elamur.ai/free/en/papers/meister-2021-revisiting-uniform-information-density-hypothesis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Clara Meister, Tiago Pimentel, Patrick Haller, et al.*2021 · 123 citations*
13. **[Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color](https://md.research.elamur.ai/free/en/papers/abdou-2021-can-language-models-encode-perceptual/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, et al.*2021 · 119 citations*
14. **[Frequency Effects on Syntactic Rule Learning in Transformers](https://md.research.elamur.ai/free/en/papers/wei-2021-frequency-effects-syntactic-rule-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jason Wei, Dan Garrette, Tal Linzen, et al.*2021 · 91 citations*
15. **[BERT Busters: Outlier Dimensions that Disrupt Transformers](https://md.research.elamur.ai/free/en/papers/kovaleva-2021-bert-busters-outlier-dimensions-that/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, et al.*2021 · 90 citations*
16. **[A Rate–Distortion view of human pragmatic reasoning?](https://md.research.elamur.ai/free/en/papers/zaslavsky-2021-rate-distortion-view-human-pragmatic/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Noga Zaslavsky, Jennifer Hu, Roger P. Levy*2021 · 69 citations*
17. **[Figurative Language in Recognizing Textual Entailment](https://md.research.elamur.ai/free/en/papers/chakrabarty-2021-figurative-language-recognizing-textual-entailment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, et al.*2021 · 63 citations*
18. [**Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering**Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, et al.*2021 · 63 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-which-linguist-invented-lightbulb-presupposition/)
19. [**Deciphering Undersegmented Ancient Scripts Using Phonetic Prior**Jiaming Luo, Frederik Hartmann, Enrico Santus, et al.*2021 · 29 citations*](https://md.research.elamur.ai/free/en/papers/luo-2021-deciphering-undersegmented-ancient-scripts-phonetic/)
20. **[Presuppositional exhaustification](https://md.research.elamur.ai/free/en/papers/bassi-2021-presuppositional-exhaustification/) [Semantics and Pragmatics](https://md.research.elamur.ai/free/en/venues/semantics-and-pragmatics/)**Itai Bassi, Guillermo Del Pinal, Uli Sauerland*2021 · 27 citations*
21. **[A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech](https://md.research.elamur.ai/free/en/papers/yang-2021-joint-model-dropped-pronoun-recovery/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingxuan Yang, Kerui Xu, Jun Xu, et al.*2021 · 16 citations*
22. **[“Laughing at you or with you”: The Role of Sarcasm in Shaping the Disagreement Space](https://md.research.elamur.ai/free/en/papers/ghosh-2021-laughing-you-or-you-role/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Debanjan Ghosh, Ritvik Shrivastava, Smaranda Muresan*2021 · 11 citations*
23. [**A practical introduction to the Rational Speech Act modeling framework**Gregory Scontras, Michael Henry Tessler, Michael Franke*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/scontras-2021-practical-introduction-rational-speech-act/)
24. **[Cognitive and social delays in the initiation of conversational repair](https://md.research.elamur.ai/free/en/papers/mertens-2021-cognitive-social-delays-initiation-conversational/) [Dialogue & Discourse](https://md.research.elamur.ai/free/en/venues/dnd/)**Julia Beret Mertens, J. P. de Ruiter*2021 · 8 citations*
25. **[Predicting pragmatic discourse features in the language of adults with autism spectrum disorder](https://md.research.elamur.ai/free/en/papers/yang-2021-predicting-pragmatic-discourse-features-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Christine Yang, Duanchen Liu, Qingyun Yang, et al.*2021 · 6 citations*
26. **[Intensionalizing Abstract Meaning Representations: Non-Veridicality and Scope](https://md.research.elamur.ai/free/en/papers/williamson-2021-intensionalizing-abstract-meaning-representations-non/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Gregor Williamson, Patrick Elliott, Yuxin Ji*2021 · 4 citations*
27. **[Every ambiguity isn't syntactic in nature: Testing the Rational Speech Act model of scope ambiguity\ensuremath*](https://md.research.elamur.ai/free/en/papers/chen-2021-every-ambiguity-isn-t-syntactic/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Sherry Yong Chen, Bob van Tiel*2021 · 3 citations*
28. [**Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis**Sagar Indurkhya, Beracah Yankama, Robert C. Berwick*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/indurkhya-2021-evaluating-universal-dependency-parser-recovery/)
29. [**Defining Definiteness in Turoyo**Miriam Yifrach, Elizabeth Coppock*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yifrach-2021-defining-definiteness-turoyo/)
- [← back to](https://md.research.elamur.ai/free/en/agglomerations/greater-boston/) — Greater Boston