| 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 | 138 | 2021 |
| DynaSent: A dynamic benchmark for sentiment analysis C Potts, Z Wu, A Geiger, D Kiela arXiv preprint arXiv:2012.15349, 2020 | 42 | 2020 |
| 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 | 35 | 2020 |
| 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 | 32 | 2019 |
| Causal abstractions of neural networks A Geiger, H Lu, T Icard, C Potts Advances in Neural Information Processing Systems 34, 9574-9586, 2021 | 24 | 2021 |
| 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 | 23 | 2018 |
| 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 | 20 | 2019 |
| 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 | 16 | 2016 |
| 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 | 14 | 2022 |
| 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 | 6 | 2021 |
| 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 | 5 | 2016 |
| 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 | 4 | 2019 |
| Relational reasoning and generalization using nonsymbolic neural networks. A Geiger, A Carstensen, MC Frank, C Potts Psychological Review, 2022 | 2 | 2022 |
| 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 | 2 | 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 | 1 | 2022 |
| Causal Abstraction for Faithful Model Interpretation A Geiger, C Potts, T Icard arXiv preprint arXiv:2301.04709, 2023 | | 2023 |
| Causal Abstraction with Soft Interventions R Massidda, A Geiger, T Icard, D Bacciu arXiv preprint arXiv:2211.12270, 2022 | | 2022 |
| Can Natural Language Inference Models Perform Natural Logic Reasoning? A Geiger | | |
