WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. - Manaal Faruqui; Ellie Pavlick; Ian Tenney; Dipanjan Das 001 (EMNLP, 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 002; Raghavendra Pappagari; R. Thomas McCoy; Roma Patel; Najoung Kim; Ian Tenney; et al. (CoRR, 2018)

BERT Rediscovers the Classical NLP Pipeline. - Ian Tenney; Dipanjan Das 001; Ellie Pavlick (ACL (1), 2019)

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. - Alex Wang; Jan Hula; Patrick Xia 002; Raghavendra Pappagari; R. Thomas McCoy; Roma Patel; Najoung Kim; Ian Tenney; Yinghui Huang; Katherin Yu; Shuning Jin; Berlin Chen; et al. (ACL (1), 2019)

What do you learn from context? Probing for sentence structure in contextualized word representations. - Ian Tenney; Patrick Xia 002; Berlin Chen; Alex Wang; Adam Poliak; R. Thomas McCoy; Najoung Kim; Benjamin Van Durme; Samuel R. Bowman; Dipanjan Das 001; Ellie Pavlick (ICLR (Poster), 2019)

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. - Najoung Kim; Roma Patel; Adam Poliak; Patrick Xia 002; Alex Wang; Tom McCoy 001; Ian Tenney; Alexis Ross; Tal Linzen; Benjamin Van Durme; Samuel R. Bowman; Ellie Pavlick (*SEM@NAACL-HLT, 2019)

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 (ACL (demo), 2020)

What Happens To BERT Embeddings During Fine-tuning? - Amil Merchant; Elahe Rahimtoroghi; Ellie Pavlick; Ian Tenney (BlackboxNLP@EMNLP, 2020)

Do Language Embeddings capture Scales? - Xikun Zhang 001; Deepak Ramachandran; Ian Tenney; Yanai Elazar; Dan Roth 001 (BlackboxNLP@EMNLP, 2020)

Asking without Telling: Exploring Latent Ontologies in Contextual Representations. - Julian Michael; Jan A. Botha; Ian Tenney (EMNLP (1), 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 (EMNLP (Demos), 2020)

Measuring and Reducing Gendered Correlations in Pre-trained Models. - Kellie Webster; Xuezhi Wang 002; Ian Tenney; Alex Beutel; Emily Pitler; Ellie Pavlick; Jilin Chen; Slav Petrov (CoRR, 2020)

Retrieval-guided Counterfactual Generation for QA. - Bhargavi Paranjape; Matthew Lamm; Ian Tenney (ACL (1), 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 (EMNLP (Findings), 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 001; Ellie Pavlick (ICLR, 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)

From Discovery to Adoption: Understanding the ML Practitioners' Interpretability Journey. - Narges Ashtari; Ryan Mullins; Crystal Qian; James Wexler; Ian Tenney; Mahima Pushkarna (Conference on Designing Interactive Systems, 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)

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 (CHI Extended Abstracts, 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; et al. (CoRR, 2024)

Interactive Prompt Debugging with Sequence Salience. - Ian Tenney; Ryan Mullins; Bin Du; Shree Pandya; Minsuk Kahng; Lucas Dixon (CoRR, 2024)

Scalable Influence and Fact Tracing for Large Language Model Pretraining. - Tyler A. Chang; Dheeraj Rajagopal; Tolga Bolukbasi; Lucas Dixon; Ian Tenney (ICLR, 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., 2025)