Noah A. Smith

30.9k total citations · 10 hit papers
264 papers, 12.9k citations indexed

About

Noah A. Smith is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Noah A. Smith has authored 264 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 227 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 14 papers in Molecular Biology. Recurrent topics in Noah A. Smith's work include Topic Modeling (189 papers), Natural Language Processing Techniques (183 papers) and Multimodal Machine Learning Applications (30 papers). Noah A. Smith is often cited by papers focused on Topic Modeling (189 papers), Natural Language Processing Techniques (183 papers) and Multimodal Machine Learning Applications (30 papers). Noah A. Smith collaborates with scholars based in United States, Portugal and United Kingdom. Noah A. Smith's co-authors include Chris Dyer, Bryan Routledge, Brendan O’Connor, Ramnath Balasubramanyan, Dipanjan Das, Michael Heilman, Jesse Dodge, Roy Schwartz, Nathan Schneider and Jason Eisner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Noah A. Smith

252 papers receiving 11.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series

2010 1.2k citations Bryan Routledge, Noah A. Smith et al. profile →
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics

2011 743 citations Kevin Gimpel, Nathan Schneider et al. profile →
Green AI

2020 604 citations Roy Schwartz, Jesse Dodge et al. profile →
Retrofitting Word Vectors to Semantic Lexicons

2015 426 citations Manaal Faruqui, Jesse Dodge et al. profile →
The Risk of Racial Bias in Hate Speech Detection

2019 417 citations Dallas Card, Yejin Choi et al. profile →
Knowledge Enhanced Contextual Word Representations

2019 359 citations Roy Schwartz, Noah A. Smith et al. profile →
Transition-Based Dependency Parsing with Stack Long Short-Term Memory

2015 355 citations Chris Dyer, Miguel Ballesteros et al. profile →
A Simple, Fast, and Effective Reparameterization of IBM Model 2

2018 317 citations Chris Dyer, Victor Chahuneau et al. profile →
Self-Instruct: Aligning Language Models with Self-Generated Instructions

2023 269 citations Alisa Liu, Noah A. Smith et al. profile →
Measuring and Narrowing the Compositionality Gap in Language Models

2023 113 citations Ofir Press, Sewon Min et al. profile →

Peers

Countries citing papers authored by Noah A. Smith

Since Specialization

Citations

This map shows the geographic impact of Noah A. Smith's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noah A. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah A. Smith more than expected).

Fields of papers citing papers by Noah A. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah A. Smith. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noah A. Smith. The network helps show where Noah A. Smith may publish in the future.

Co-authorship network of co-authors of Noah A. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Noah A. Smith. A scholar is included among the top collaborators of Noah A. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Noah A. Smith. Noah A. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG 2024 ·William Merrill, Noah A. Smith, Yanai Elazar	1
2	Set the Clock: Temporal Alignment of Pretrained Language Models 2024 ·(unknown), (unknown), Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith	3
3	We’re Afraid Language Models Aren’t Modeling Ambiguity 2023 ·Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi	18
4	Measuring and Narrowing the Compositionality Gap in Language Models breakdown → 2023 ·Ofir Press, (unknown), Sewon Min, Ludwig Schmidt, Noah A. Smith, Michael Lewis	113
5	Elaboration-Generating Commonsense Question Answering at Scale 2023 ·Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith	2
6	TEQUILA-seq: a versatile and low-cost method for targeted long-read RNA sequencing 2023 ·Nature Communications ·(unknown), Yang Xu, Robert Wang, (unknown), Noah A. Smith, (unknown), (unknown), Eric Kutschera, Kathryn E. Kadash-Edmondson, Yi Xing, Lan Lin	15
7	Time Waits for No One! Analysis and Challenges of Temporal Misalignment 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·(unknown), Daniel Khashabi, Suchin Gururangan, (unknown), Noah A. Smith	21
8	DEMix Layers: Disentangling Domains for Modular Language Modeling 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer	39
9	How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers 2022 ·(unknown), Hao Peng, (unknown), Jungo Kasai, (unknown), Noah A. Smith, Roy Schwartz	9
10	Patterns of Bias: How Mainstream Media Operationalize Links between Mass Shootings and Terrorism 2022 ·Political Communication ·(unknown), Emily Kalah Gade, Dallas Card, Noah A. Smith	13
11	A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers 2021 ·Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner	48
12	Plug and Play Autoencoders for Conditional Text Generation 2020 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Florian Mai, Nikolaos Pappas, (unknown), Noah A. Smith, James Henderson	15
13	Writing Strategies for Science Communication: Data and Computational Analysis 2020 ·Tal August, Lauren Kim, Katharina Reinecke, Noah A. Smith	10
14	Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts 2019 ·Elizabeth Clark, Aslı Çelikyılmaz, Noah A. Smith	77
15	End-to-End Neural Segmental Models for Speech Recognition 2017 ·IEEE Journal of Selected Topics in Signal Processing ·Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals	14
16	Linguistic Markers of Status in Food Culture: Bourdieu’s Distinction in a Menu Corpus 2016 ·SHILAP Revista de lepidopterología ·Dan Jurafsky, Victor Chahuneau, Bryan Routledge, Noah A. Smith	13
17	Transition-Based Dependency Parsing with Stack Long Short-Term Memory breakdown → 2015 ·Chris Dyer, Miguel Ballesteros, Ling Wang, Austin Matthews, Noah A. Smith	355
18	Retrofitting Word Vectors to Semantic Lexicons breakdown → 2015 ·Manaal Faruqui, Jesse Dodge, Sunil Kumar Jauhar, Chris Dyer, Eduard Hovy, Noah A. Smith	426
19	Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics 2012 ·Behrang Mohit, Nathan Schneider, (unknown), Kemal Oflazer, Noah A. Smith	1
20	Covariance in Unsupervised Learning of Probabilistic Grammars 2010 ·Journal of Machine Learning Research ·Shay B. Cohen, Noah A. Smith	15

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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