Causal Distillation for Language Models
Zhengxuan Wu*,Atticus Geiger*,Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Noah D. Goodman, Christopher Potts
Preprint Manuscript
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Inducing Causal Structure for Interpretable Neural Network
Atticus Geiger*, Zhengxuan Wu*, Hanson Lu*, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
Preprint Manuscript
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Causal Abstractions of Neural Networks
Atticus Geiger*, Hanson Lu*, Thomas Icard, Christopher Potts
To appear in Proceedings of NeurIPS 2021
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Dynabench: Rethinking Benchmarking in NLP
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, and Adina Williams
In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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DynaSent: A dynamic benchmark for sentiment analysis
Chris Potts*, Zhengxuan Wu*, Atticus Geiger, and Douwe Kiela
In Proceedings of the Association for Computational Linguistics 2021 .
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Relational reasoning and generalization using non-symbolic neural networks
Atticus Geiger, Alexandra Carstensen, Michael C. Frank, and Chris Potts
Manuscript
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Neural natural language inference models partially embed theories of lexical entailment and negation
Atticus Geiger, Kyle Richardson, and Christopher Potts
In Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP 2020).
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Posing Fair Generalization Tasks for Natural Language Inference
Atticus Geiger, Ignacio Cases, Lauri Karttunen, and Chris Potts
In Proceedings of the 2019 conference on Empircal Methods in Natural Lanuage Processing.
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Can Natural Language Inference Models Perform Natural Logic Reasoning
Atticus Geiger; Advised by Chris Potts and Thomas Icard
Undergraduate honors thesis in Symbolic Systems at Stanford
Awarded the Firestone Medal.
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Stress-Testing Neural Models of Natural Language Inference with Multiply Quantified Sentences
Atticus Geiger, Ignacio Cases, Lauri Karttunen, and Chris Potts
Manuscript
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Recursive Routing Networks: Learning to Compose Modules for Language Understanding
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Argawal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, and Lauri Karttunen, and Chris Potts
In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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