Ian Tenney
Authored Publications
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LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
Minsuk Kahng
Michael Xieyang Liu
Krystal Kallarackal
Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '24), ACM (2024)
The MultiBERTs: BERT Reproductions for Robustness Analysis
Steve Yadlowsky
Jason Wei
Naomi Saphra
Iulia Raluca Turc
2022
Retrieval-guided Counterfactual Generation for QA
Bhargavi Paranjape
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics (2022), pp. 1670-1686 (to appear)
Measuring and Reducing Gendered Correlations in Pre-trained Models
Alex Beutel
Emily Pitler
arXiv (2020)
Asking without Telling: Exploring Latent Ontologies in Contextual Representations
Julian Michael
Jan A. Botha
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (to appear)
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Andy Coenen
Sebastian Gehrmann
Ellen Jiang
Carey Radebaugh
Ann Yuan
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Association for Computational Linguistics (to appear)
What Happens To BERT Embeddings During Fine-tuning?
Amil Merchant
Elahe Rahimtoroghi
Proceedings of the 2020 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Association for Computational Linguistics (to appear)
What do you learn from context? Probing for sentence structure in contextualized word representations
Patrick Xia
Berlin Chen
Alex Wang
Adam Poliak
R. Thomas McCoy
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
International Conference on Learning Representations (2019)
