Follow
Atticus Geiger
Atticus Geiger
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Dynabench: Rethinking benchmarking in NLP
D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ...
In Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
1272021
Dynasent: A dynamic benchmark for sentiment analysis
C Potts, Z Wu, A Geiger, D Kiela
arXiv preprint arXiv:2012.15349, 2020
412020
Neural natural language inference models partially embed theories of lexical entailment and negation
A Geiger, K Richardson, C Potts
In Proceedings of the Third BlackboxNLP Workshop on Analyzing and …, 2020
332020
Posing fair generalization tasks for natural language inference
A Geiger, I Cases, L Karttunen, C Potts
In Proceedings of the 2019 Conference on Empirical Methods in Natural …, 2019
322019
Stress-testing neural models of natural language inference with multiply-quantified sentences
A Geiger, I Cases, L Karttunen, C Potts
arXiv preprint arXiv:1810.13033, 2018
232018
Causal abstractions of neural networks
A Geiger, H Lu, T Icard, C Potts
Advances in Neural Information Processing Systems 34, 9574-9586, 2021
182021
Recursive routing networks: Learning to compose modules for language understanding
I Cases, C Rosenbaum, M Riemer, A Geiger, T Klinger, A Tamkin, O Li, ...
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
182019
Hybrid Pluggable Processing Pipeline (HyP3): A cloud-based infrastructure for generic processing of SAR data
K Hogenson, SA Arko, B Buechler, R Hogenson, J Herrmann, A Geiger
AGU Fall Meeting Abstracts 2016, IN21B-1740, 2016
132016
Inducing causal structure for interpretable neural networks
A Geiger, Z Wu, H Lu, J Rozner, E Kreiss, T Icard, N Goodman, C Potts
International Conference on Machine Learning, 7324-7338, 2022
112022
Sentinel-1 archive and processing in the cloud using the Hybrid Pluggable Processing Pipeline (HyP3) at the ASF DAAC
SA Arko, R Hogenson, A Geiger, J Herrmann, B Buechler, K Hogenson
AGU Fall Meeting Abstracts 2016, G43A-1040, 2016
52016
Dispatched routing networks
C Rosenbaum, I Cases, M Riemer, A Geiger, L Karttunen, JD Greene, ...
Technical Report Stanford AI Lab, NLP Group Tech Report 2019-1, 2019
42019
Relational reasoning and generalization using nonsymbolic neural networks.
A Geiger, A Carstensen, MC Frank, C Potts
Psychological Review, 2022
22022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
ED Abraham, K D'Oosterlinck, A Feder, YO Gat, A Geiger, C Potts, ...
arXiv preprint arXiv:2205.14140, 2022
12022
Causal Distillation for Language Models
Z Wu, A Geiger, J Rozner, E Kreiss, H Lu, T Icard, C Potts, ND Goodman
arXiv preprint arXiv:2112.02505, 2021
12021
Causal Abstraction with Soft Interventions
R Massidda, A Geiger, T Icard, D Bacciu
arXiv preprint arXiv:2211.12270, 2022
2022
Causal Proxy Models for Concept-Based Model Explanations
Z Wu, K D'Oosterlinck, A Geiger, A Zur, C Potts
arXiv preprint arXiv:2209.14279, 2022
2022
Can Natural Language Inference Models Perform Natural Logic Reasoning?
A Geiger
The system can't perform the operation now. Try again later.
Articles 1–17