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Ian Tenney
Ian Tenney
Staff Research Scientist, Google Research
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
BERT Rediscovers the Classical NLP Pipeline
I Tenney, D Das, E Pavlick
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
14952019
What do you learn from context: Probing for sentence structure in contextualized word representations
I Tenney, P Xia, B Chen, A Wang, A Poliak, RT McCoy, N Kim, ...
In Proceedings of the International Conference on Learning Representations, 2019
8402019
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
4192023
Ultrafast X-ray Auger probing of photoexcited molecular dynamics
BK McFarland, JP Farrell, S Miyabe, F Tarantelli, A Aguilar, N Berrah, ...
Nature communications 5 (1), 4235, 2014
1772014
Measuring and reducing gendered correlations in pre-trained models
K Webster, X Wang, I Tenney, A Beutel, E Pitler, E Pavlick, J Chen, E Chi, ...
arXiv preprint arXiv:2010.06032, 2020
1672020
What Happens To BERT Embeddings During Fine-tuning?
A Merchant, E Rahimtoroghi, E Pavlick, I Tenney
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting …, 2020
1632020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
I Tenney, J Wexler, J Bastings, T Bolukbasi, A Coenen, S Gehrmann, ...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1622020
The language interpretability tool: Extensible, interactive visualizations and analysis for NLP models
I Tenney, J Wexler, J Bastings, T Bolukbasi, A Coenen, S Gehrmann, ...
URL https://www. aclweb. org/anthology/2020. emnlp-demos 15, 2020
1622020
Measuring and Reducing Gendered Correlations in Pre-trained Models
K Webster, X Wang, I Tenney, A Beutel, E Pitler, E Pavlick, J Chen, ...
arXiv preprint arXiv:2010.06032, 2020
1472020
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
A Wang, J Hula, P Xia, R Pappagari, RT McCoy, R Patel, N Kim, I Tenney, ...
Proceedings of the 57th Conference of the Association for Computational …, 2019
143*2019
Ultrafast isomerization initiated by X-ray core ionization
CE Liekhus-Schmaltz, I Tenney, T Osipov, A Sanchez-Gonzalez, N Berrah, ...
Nature communications 6 (1), 8199, 2015
1202015
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
N Kim, R Patel, A Poliak, A Wang, P Xia, RT McCoy, I Tenney, A Ross, ...
Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019
1032019
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
Y Pruksachatkun, P Yeres, H Liu, J Phang, PM Htut, A Wang, I Tenney, ...
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
90*2020
The MultiBERTs: BERT Reproductions for Robustness Analysis
T Sellam, S Yadlowsky, J Wei, N Saphra, A D'Amour, T Linzen, J Bastings, ...
arXiv preprint arXiv:2106.16163, 2021
762021
Do Language Embeddings Capture Scales?
X Zhang, D Ramachandran, I Tenney, Y Elazar, D Roth
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
732020
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse
M Faruqui, E Pavlick, I Tenney, D Das
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
462018
Towards Tracing Knowledge in Language Models Back to the Training Data
E Akyürek, T Bolukbasi, F Liu, B Xiong, I Tenney, J Andreas, K Guu
Findings of the Association for Computational Linguistics: EMNLP 2022, 2429-2446, 2022
44*2022
Asking without Telling: Exploring Latent Ontologies in Contextual Representations
J Michael, JA Botha, I Tenney
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
412020
Semicrystalline dihydroxyacetone copolymers derived from glycerol
J Simon, JV Olsson, H Kim, IF Tenney, RM Waymouth
Macromolecules 45 (23), 9275-9281, 2012
382012
Gemma: Open Models Based on Gemini Research and Technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
252024
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