Ian Tenney

According to our database, Ian Tenney authored at least 23 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models.

Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon

IEEE Trans. Vis. Comput. Graph., January, 2025

2024

Scalable Influence and Fact Tracing for Large Language Model Pretraining.

Tyler A. Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, Ian Tenney

CoRR, 2024

Interactive Prompt Debugging with Sequence Salience.

Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk Kahng, Lucas Dixon

CoRR, 2024

Gemma: Open Models Based on Gemini Research and Technology.

Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Léonard Hussenot, Aakanksha Chowdhery, Adam Roberts, Aditya Barua, Alex Botev, Alex Castro-Ros, Ambrose Slone, Amélie Héliou, Andrea Tacchetti, Anna Bulanova, Antonia Paterson, Beth Tsai, Bobak Shahriari, Charline Le Lan, Christopher A. Choquette-Choo, Clément Crepy, Daniel Cer, Daphne Ippolito, David Reid, Elena Buchatskaya, Eric Ni, Eric Noland, Geng Yan, George Tucker, George-Cristian Muraru, Grigory Rozhdestvenskiy, Henryk Michalewski, Ian Tenney, Ivan Grishchenko, Jacob Austin, James Keeling, Jane Labanowski, Jean-Baptiste Lespiau, Jeff Stanway, Jenny Brennan, Jeremy Chen, Johan Ferret, Justin Chiu, et al.

CoRR, 2024

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, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs.

Kelvin Guu, Albert Webson, Ellie Pavlick, Lucas Dixon, Ian Tenney, Tolga Bolukbasi

CoRR, 2023

From Discovery to Adoption: Understanding the ML Practitioners' Interpretability Journey.

Narges Ashtari, Ryan Mullins, Crystal Qian, James Wexler, Ian Tenney, Mahima Pushkarna

Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023

2022

Tracing Knowledge in Language Models Back to the Training Data.

Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu

CoRR, 2022

The MultiBERTs: BERT Reproductions for Robustness Analysis.

Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Raluca Turc, Jacob Eisenstein, Dipanjan Das, Ellie Pavlick

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Tracing Knowledge in Language Models Back to the Training Data.

Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Retrieval-guided Counterfactual Generation for QA.

Bhargavi Paranjape, Matthew Lamm, Ian Tenney

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020

Measuring and Reducing Gendered Correlations in Pre-trained Models.

Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov

CoRR, 2020

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, Carey Radebaugh, Emily Reif, Ann Yuan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Asking without Telling: Exploring Latent Ontologies in Contextual Representations.

Julian Michael, Jan A. Botha, Ian Tenney

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Do Language Embeddings capture Scales?

Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

What Happens To BERT Embeddings During Fine-tuning?

Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, Ian Tenney

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models.

Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension.

Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

What do you learn from context? Probing for sentence structure in contextualized word representations.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling.

Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

BERT Rediscovers the Classical NLP Pipeline.

Ian Tenney, Dipanjan Das, Ellie Pavlick

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.

Samuel R. Bowman, Ellie Pavlick, Edouard Grave, Benjamin Van Durme, Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen

CoRR, 2018

WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse.

Manaal Faruqui, Ellie Pavlick, Ian Tenney, Dipanjan Das

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018