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Ian Tenney
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2020 – today
- 2024
- [c16]Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon:
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. CHI Extended Abstracts 2024: 216:1-216:7 - [i18]Minsuk Kahng, Ian Tenney, Mahima Pushkarna, Michael Xieyang Liu, James Wexler, Emily Reif, Krystal Kallarackal, Minsuk Chang, Michael Terry, Lucas Dixon:
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. CoRR abs/2402.10524 (2024) - [i17]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.:
Gemma: Open Models Based on Gemini Research and Technology. CoRR abs/2403.08295 (2024) - [i16]Ian Tenney, Ryan Mullins, Bin Du, Shree Pandya, Minsuk Kahng, Lucas Dixon:
Interactive Prompt Debugging with Sequence Salience. CoRR abs/2404.07498 (2024) - 2023
- [c15]Narges Ashtari, Ryan Mullins, Crystal Qian, James Wexler, Ian Tenney, Mahima Pushkarna:
From Discovery to Adoption: Understanding the ML Practitioners' Interpretability Journey. Conference on Designing Interactive Systems 2023: 2304-2325 - [i15]Kelvin Guu, Albert Webson, Ellie Pavlick, Lucas Dixon, Ian Tenney, Tolga Bolukbasi:
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs. CoRR abs/2303.08114 (2023) - 2022
- [c14]Bhargavi Paranjape, Matthew Lamm, Ian Tenney:
Retrieval-guided Counterfactual Generation for QA. ACL (1) 2022: 1670-1686 - [c13]Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu:
Towards Tracing Knowledge in Language Models Back to the Training Data. EMNLP (Findings) 2022: 2429-2446 - [c12]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:
The MultiBERTs: BERT Reproductions for Robustness Analysis. ICLR 2022 - [i14]Ekin Akyürek, Tolga Bolukbasi, Frederick Liu, Binbin Xiong, Ian Tenney, Jacob Andreas, Kelvin Guu:
Tracing Knowledge in Language Models Back to the Training Data. CoRR abs/2205.11482 (2022) - 2021
- [i13]Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick:
The MultiBERTs: BERT Reproductions for Robustness Analysis. CoRR abs/2106.16163 (2021) - [i12]Bhargavi Paranjape, Matthew Lamm, Ian Tenney:
Retrieval-guided Counterfactual Generation for QA. CoRR abs/2110.07596 (2021) - 2020
- [c11]Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman:
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models. ACL (demo) 2020: 109-117 - [c10]Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, Ian Tenney:
What Happens To BERT Embeddings During Fine-tuning? BlackboxNLP@EMNLP 2020: 33-44 - [c9]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings capture Scales? BlackboxNLP@EMNLP 2020: 292-299 - [c8]Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan:
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. EMNLP (Demos) 2020: 107-118 - [c7]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings capture Scales? EMNLP (Findings) 2020: 4889-4896 - [c6]Julian Michael, Jan A. Botha, Ian Tenney:
Asking without Telling: Exploring Latent Ontologies in Contextual Representations. EMNLP (1) 2020: 6792-6812 - [i11]Yada Pruksachatkun, Philip Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney, Samuel R. Bowman:
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models. CoRR abs/2003.02249 (2020) - [i10]Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, Ian Tenney:
What Happens To BERT Embeddings During Fine-tuning? CoRR abs/2004.14448 (2020) - [i9]Julian Michael, Jan A. Botha, Ian Tenney:
Asking without Telling: Exploring Latent Ontologies in Contextual Representations. CoRR abs/2004.14513 (2020) - [i8]Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan:
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models. CoRR abs/2008.05122 (2020) - [i7]Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth:
Do Language Embeddings Capture Scales? CoRR abs/2010.05345 (2020) - [i6]Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov:
Measuring and Reducing Gendered Correlations in Pre-trained Models. CoRR abs/2010.06032 (2020)
2010 – 2019
- 2019
- [c5]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:
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. ACL (1) 2019: 4465-4476 - [c4]Ian Tenney, Dipanjan Das, Ellie Pavlick:
BERT Rediscovers the Classical NLP Pipeline. ACL (1) 2019: 4593-4601 - [c3]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:
What do you learn from context? Probing for sentence structure in contextualized word representations. ICLR (Poster) 2019 - [c2]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:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. *SEM@NAACL-HLT 2019: 235-249 - [i5]Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, R. Thomas McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. CoRR abs/1904.11544 (2019) - [i4]Ian Tenney, Dipanjan Das, Ellie Pavlick:
BERT Rediscovers the Classical NLP Pipeline. CoRR abs/1905.05950 (2019) - [i3]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:
What do you learn from context? Probing for sentence structure in contextualized word representations. CoRR abs/1905.06316 (2019) - 2018
- [c1]Manaal Faruqui, Ellie Pavlick, Ian Tenney, Dipanjan Das:
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. EMNLP 2018: 305-315 - [i2]Manaal Faruqui, Ellie Pavlick, Ian Tenney, Dipanjan Das:
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. CoRR abs/1808.09422 (2018) - [i1]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:
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. CoRR abs/1812.10860 (2018)
Coauthor Index
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