---
title: "Brown University — works"
description: "40 works by researchers of Brown University in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/brown-university/works/"
---
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# Works of Brown University

40 works · the most cited first · [← Brown University](https://md.research.elamur.ai/free/en/universities/brown-university/)

1. [**Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models**Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla, et al.*2023 · 4,154 citations*](https://md.research.elamur.ai/free/en/papers/kung-2023-performance-chatgpt-usmle-potential-ai/)
2. [**A Maximum-Entropy-Inspired Parser**Eugene Charniak*2000 · 2,049 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2000-maximum-entropy-inspired-parser/)
3. [**BERT Rediscovers the Classical NLP Pipeline**Ian Tenney, Dipanjan Das, Ellie Pavlick*2019 · 1,993 citations*](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/)
4. [**Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference**R. Thomas McCoy, Ellie Pavlick, Tal Linzen*2019 · 1,630 citations*](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/)
5. [**Multitask Prompted Training Enables Zero-Shot Task Generalization**Victor Sanh, Albert Webson, Colin Raffel, et al.*2021 · 1,577 citations*](https://md.research.elamur.ai/free/en/papers/sanh-2021-multitask-prompted-training-enables-zero/)
6. [**Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking**Eugene Charniak, Mark Johnson*2005 · 1,312 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2005-coarse-fine-n-best-parsing/)
7. [**Effective Self-Training for Parsing**David McClosky, Eugene Charniak, Mark Johnson*2006 · 846 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-effective-self-training-parsing/)
8. [**Crosslingual Generalization through Multitask Finetuning**Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.*2022 · 692 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-crosslingual-generalization-through-multitask-finetuning/)
9. [**What do you learn from context? Probing for sentence structure in contextualized word representations**Ian Tenney, Patrick Xia, Berlin Chen, et al.*2019 · 582 citations*](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/)
10. [**Finding Parts in Very Large Corpora**Matthew Berland, Eugene Charniak*1999 · 560 citations*](https://md.research.elamur.ai/free/en/papers/berland-1999-finding-parts-very-large-corpora/)
11. [**PCFG Models of Linguistic Tree Representations**Mark Johnson*1998 · 488 citations*](https://md.research.elamur.ai/free/en/papers/johnson-1998-pcfg-models-linguistic-tree-representations/)
12. [**Inherent Disagreements in Human Textual Inferences**Ellie Pavlick, Tom Kwiatkowski*2019 · 451 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2019-inherent-disagreements-human-textual-inferences/)
13. [**Automatic construction of a hypernym-labeled noun hierarchy from text**Sharon A. Caraballo*1999 · 441 citations*](https://md.research.elamur.ai/free/en/papers/caraballo-1999-automatic-construction-hypernym-labeled-noun/)
14. [**Probabilistic Top-Down Parsing and Language Modeling**Brian Roark*2001 · 424 citations*](https://md.research.elamur.ai/free/en/papers/roark-2001-probabilistic-top-down-parsing-language/)
15. [**Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques**Stefan Riezler, Tracy H. King, Ronald M. Kaplan, et al.*2002 · 396 citations*](https://md.research.elamur.ai/free/en/papers/riezler-2002-parsing-wall-street-journal-lexical/)
16. [**Do Prompt-Based Models Really Understand the Meaning of Their Prompts?**Albert Webson, Ellie Pavlick*2022 · 396 citations*](https://md.research.elamur.ai/free/en/papers/webson-2022-do-prompt-based-models-really/)
17. [**Immediate-Head Parsing for Language Models**Eugene Charniak*2001 · 386 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2001-immediate-head-parsing-language-models/)
18. [**Reranking and Self-Training for Parser Adaptation**David McClosky, Eugene Charniak, Mark Johnson*2006 · 352 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-reranking-self-training-parser-adaptation/)
19. [**Bayesian Inference for PCFGs via Markov Chain Monte Carlo**Mark Johnson, Thomas Griffiths, Sharon Goldwater*2007 · 352 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2007-bayesian-inference-pcfgs-markov-chain/)
20. [**Larger language models do in-context learning differently**Jerry Wei, Jason Wei, Yi Tay, et al.*2023 · 277 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-larger-language-models-context-learning/)
21. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model**Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.*2024 · 245 citations*](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)
22. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
23. [**What Happens To BERT Embeddings During Fine-tuning?**Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.*2020 · 219 citations*](https://md.research.elamur.ai/free/en/papers/merchant-2020-what-happens-bert-embeddings-during/)
24. [**Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation**Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al.*2018 · 190 citations*](https://md.research.elamur.ai/free/en/papers/poliak-2018-collecting-diverse-natural-language-inference/)
25. [**Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs**Houyu Zhang, Zhenghao Liu, Chenyan Xiong, et al.*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-grounded-conversation-generation-as-guided/)
26. [**Supersense Tagging of Unknown Nouns in WordNet**Massimiliano Ciaramita, Mark Johnson*2003 · 176 citations*](https://md.research.elamur.ai/free/en/papers/ciaramita-2003-supersense-tagging-unknown-nouns-wordnet/)
27. [**Low-Resource Languages Jailbreak GPT-4**Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach*2023 · 168 citations*](https://md.research.elamur.ai/free/en/papers/yong-2023-low-resource-languages-jailbreak-gpt/)
28. [**PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts**Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.*2022 · 164 citations*](https://md.research.elamur.ai/free/en/papers/bach-2022-promptsource-integrated-development-environment-repository/)
29. [**Probing What Different NLP Tasks Teach Machines about Function Word Comprehension**Najoung Kim, Roma Patel, Adam Poliak, et al.*2019 · 161 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-probing-what-different-nlp-tasks/)
30. [**Machine Learning for Ancient Languages: A Survey**Thea Sommerschield, Yannis Assael, John Pavlopoulos, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/sommerschield-2023-machine-learning-ancient-languages-survey/)
31. [**EM Works for Pronoun Anaphora Resolution**Eugene Charniak, Micha Elsner*2009 · 118 citations*](https://md.research.elamur.ai/free/en/papers/charniak-2009-em-works-pronoun-anaphora-resolution/)
32. [**A Unified Local and Global Model for Discourse Coherence**Micha Elsner, Joseph Austerweil, Eugene Charniak*2007 · 102 citations*](https://md.research.elamur.ai/free/en/papers/elsner-2007-unified-local-global-model-discourse/)
33. [**Coreference-inspired Coherence Modeling**Micha Elsner, Eugene Charniak*2008 · 84 citations*](https://md.research.elamur.ai/free/en/papers/elsner-2008-coreference-inspired-coherence-modeling/)
34. [**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/)
35. [**How well do NLI models capture verb veridicality?**Alexis Ross, Ellie Pavlick*2019 · 61 citations*](https://md.research.elamur.ai/free/en/papers/ross-2019-how-well-do-nli-models/)
36. [**Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches**Daniel Fried, Nicholas Tomlin, Jennifer Hu, et al.*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/fried-2023-pragmatics-language-grounding-phenomena-tasks/)
37. [**Using the Penn Treebank to Evaluate Non-Treebank Parsers**Eric K. Ringger, Robert C. Moore, Eugene Charniak, et al.*2004 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ringger-2004-penn-treebank-evaluate-non-treebank/)
38. [**The Same-Head Heuristic for Coreference**Micha Elsner, Eugene Charniak*2010 · 14 citations*](https://md.research.elamur.ai/free/en/papers/elsner-2010-same-head-heuristic-coreference/)
39. [**Focusing for Pronoun Resolution in English Discourse: An Implementation**Ebru Ersan, Varol Akman*1994 · 4 citations*](https://md.research.elamur.ai/free/en/papers/ersan-1994-focusing-pronoun-resolution-english-discourse/)
40. [**Semantic Change Characterization with LLMs using Rhetorics**Jáder Martins Camboim de Sá, Jooyoung Lee, Marcos Da Silveira, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/sa-2026-semantic-change-characterization-llms-rhetorics/)
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