Atticus Geiger

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 42

Top Topics

Method For Automatically Generating

Causal Relationships

Natural Language

Causal Structure

Top Venues

BlackboxNLP@EMNLP

Publications

Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. ACL (1) (2024)
Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. CoRR (2024)
Aleksandar Makelov, Georg Lange, Atticus Geiger, Neel Nanda
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching. ICLR (2024)
Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts
ReFT: Representation Finetuning for Language Models. CoRR (2024)
Amir Zur, Elisa Kreiss, Karel D'Oosterlinck, Christopher Potts, Atticus Geiger
Updating CLIP to Prefer Descriptions Over Captions. CoRR (2024)
Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang, Zheng Wang, Noah D. Goodman, Christopher D. Manning, Christopher Potts
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions. CoRR (2024)
Zhengxuan Wu, Atticus Geiger, Jing Huang, Aryaman Arora, Thomas Icard, Christopher Potts, Noah D. Goodman
A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments. CoRR (2024)
Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CLeaR (2024)
Zhengxuan Wu, Atticus Geiger, Thomas Icard, Christopher Potts, Noah D. Goodman
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. NeurIPS (2023)
Zhengxuan Wu, Atticus Geiger, Christopher Potts, Noah D. Goodman
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca. CoRR (2023)
Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts
Rigorously Assessing Natural Language Explanations of Neurons. CoRR (2023)
Atticus Geiger, Zhengxuan Wu, Christopher Potts, Thomas Icard, Noah D. Goodman
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations. CoRR (2023)
Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts
Rigorously Assessing Natural Language Explanations of Neurons. BlackboxNLP@EMNLP (2023)
Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
Causal Abstraction with Soft Interventions. CLeaR (2023)
Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, Neel Nanda
Linear Representations of Sentiment in Large Language Models. CoRR (2023)
Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts
Causal Proxy Models for Concept-based Model Explanations. ICML (2023)
Angela Cao, Atticus Geiger, Elisa Kreiss, Thomas Icard, Tobias Gerstenberg
A Semantics for Causing, Enabling, and Preventing Verbs Using Structural Causal Models. CogSci (2023)
Atticus Geiger, Christopher Potts, Thomas Icard
Causal Abstraction for Faithful Model Interpretation. CoRR (2023)
Jingyuan Selena She, Christopher Potts, Samuel R. Bowman, Atticus Geiger
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning. ACL (2) (2023)
Jingyuan Selena She, Christopher Potts, Samuel R. Bowman, Atticus Geiger
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning. CoRR (2023)
Zhengxuan Wu, Atticus Geiger, Joshua Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
Causal Distillation for Language Models. NAACL-HLT (2022)
Zhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts
Causal Proxy Models for Concept-Based Model Explanations. CoRR (2022)
Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
Inducing Causal Structure for Interpretable Neural Networks. ICML (2022)
Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. NeurIPS (2022)
Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. CoRR (2022)
Riccardo Massidda, Atticus Geiger, Thomas Icard, Davide Bacciu
Causal Abstraction with Soft Interventions. CoRR (2022)
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, Adina Williams
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT (2021)
Zhengxuan Wu, Atticus Geiger, Josh Rozner, Elisa Kreiss, Hanson Lu, Thomas Icard, Christopher Potts, Noah D. Goodman
Causal Distillation for Language Models. CoRR (2021)
Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts
Causal Abstractions of Neural Networks. NeurIPS (2021)
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, Adina Williams
Dynabench: Rethinking Benchmarking in NLP. CoRR (2021)
Atticus Geiger, Hanson Lu, Thomas Icard, Christopher Potts
Causal Abstractions of Neural Networks. CoRR (2021)
Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela
DynaSent: A Dynamic Benchmark for Sentiment Analysis. ACL/IJCNLP (1) (2021)
Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
Inducing Causal Structure for Interpretable Neural Networks. CoRR (2021)
Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela
DynaSent: A Dynamic Benchmark for Sentiment Analysis. CoRR (2020)
Atticus Geiger, Kyle Richardson, Christopher Potts
Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models. CoRR (2020)
Atticus Geiger, Kyle Richardson, Christopher Potts
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation. BlackboxNLP@EMNLP (2020)
Atticus Geiger, Alexandra Carstensen, Michael C. Frank, Christopher Potts
Relational reasoning and generalization using non-symbolic neural networks. CoRR (2020)
Atticus Geiger, Alexandra Carstensen, Michael C. Frank, Christopher Potts
Relational reasoning and generalization using non-symbolic neural networks. CogSci (2020)
Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts
Posing Fair Generalization Tasks for Natural Language Inference. CoRR (2019)
Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts
Posing Fair Generalization Tasks for Natural Language Inference. EMNLP/IJCNLP (1) (2019)
Ignacio Cases, Clemens Rosenbaum, Matthew Riemer, Atticus Geiger, Tim Klinger, Alex Tamkin, Olivia Li, Sandhini Agarwal, Joshua D. Greene, Dan Jurafsky, Christopher Potts, Lauri Karttunen
Recursive Routing Networks: Learning to Compose Modules for Language Understanding. NAACL-HLT (1) (2019)
Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts
Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences. CoRR (2018)