Ian Tenney

3.9k citations

13 papers · 951 indexed · 1 hit paper · h-index 11

Impact in

Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Explainable Artificial Intelligence (XAI)
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
Health Informatics top 10%

Papers in

Artificial Intelligence 13
- Topic Modeling 12
- Natural Language Processing Techniques 11
- Explainable Artificial Intelligence (XAI) 3
- Text Readability and Simplification 2
- Advanced Text Analysis Techniques 1
Computer Vision and Pattern Recognition 3
- Multimodal Machine Learning Applications 3

Co-authors: Ellie Pavlick Dipanjan Das Benjamin Van Durme Patrick Xia Samuel R. Bowman Najoung Kim Adam Poliak James Wexler
Journals: IEEE Transactions on Visualization and Computer Graphics (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)arXiv (Cornell University) (1 paper)
Partner nations: United States Israel Switzerland

In The Last Decade

Ian Tenney

13 papers receiving 896 citations

Hit Papers

align trajectories log scale

BERT Rediscovers the Classical NLP Pipeline 2019 · 646 citations

Peers

Countries citing papers authored by Ian Tenney

Since Specialization

Citations

This map shows the geographic impact of Ian Tenney'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 Ian Tenney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Tenney more than expected).

Fields of papers citing papers by Ian Tenney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian Tenney. 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 Ian Tenney. The network helps show where Ian Tenney may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ian Tenney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ian Tenney Line = papers co-authored together Ian Tenney links everyone, so they are left out of the graph.

All Works

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13 of 13 papers shown

#	Work
1	LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, A. V. Yuryevа, Minsuk Chang, Michael Terry, Lucas Dixon	2024	13
2	LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models IEEE Transactions on Visualization and Computer Graphics ·Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, A. V. Yuryevа, Minsuk Chang, Michael Terry, Lucas Dixon	2024	7
3	From Discovery to Adoption: Understanding the ML Practitioners’ Interpretability Journey Okushima Yoko, Ryan Mullins, Samuel Senkunda, James Wexler, Ian Tenney, Mahima Pushkarna	2023	2
4	Towards Tracing Knowledge in Language Models Back to the Training Data Ekin Akyürek, Tolga Bolukbasi, Hafiz Kendratama, S Bonetta, Ian Tenney, Jacob Andreas, Kelvin Guu	2022	16
5	Retrieval-guided Counterfactual Generation for QA Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·Bhargavi Paranjape, Tanni Chakraborty, Ian Tenney	2022	14
6	The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Ricky Aristio, Emily Reif, Ann Yuan	2020	73
7	Do Language Embeddings capture Scales? Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth	2020	26
8	Do Language Embeddings capture Scales? Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth	2020	13
9	BERT Rediscovers the Classical NLP Pipeline Ian Tenney, Dipanjan Das, Ellie Pavlick Hit paper breakdown →	2019	646
10	Probing What Different NLP Tasks Teach Machines about Function Word Comprehension Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, W. Loos, Ian Tenney, Young Jin Yoo, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick	2019	44
11	What do you learn from context? Probing for sentence structure in contextualized word representations arXiv (Cornell University) ·Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick	2019	67
12	Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. Samuel R. Bowman, Ellie Pavlick, Édouard Grave, Benjamin Van Durme, Alex Wang, Jan Hůla, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Mariany Dias Reis, Nana Toyokuni, Berlin Chen	2018	11
13	WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse Manaal Faruqui, Ellie Pavlick, Ian Tenney, Dipanjan Das	2018	19

About Ian Tenney

Ian Tenney is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Communication, Literature and Literary Theory and Information Systems, having authored 13 papers that have together received 951 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers), Multimodal Machine Learning Applications (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Software Engineering Research (2 papers), Text Readability and Simplification (2 papers), Advanced Text Analysis Techniques (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Artificial Intelligence (791 citations), Health Informatics (16 citations), Computer Vision and Pattern Recognition (186 citations), General Social Sciences (21 citations) and Information Systems (102 citations). Ian Tenney has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Ellie Pavlick, Dipanjan Das, Benjamin Van Durme, Patrick Xia, Samuel R. Bowman, Najoung Kim, Adam Poliak, James Wexler, Mahima Pushkarna and Emily Reif. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and arXiv (Cornell University).

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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