متابعة
Atticus Geiger
Atticus Geiger
Pr(Ai)²R Group
بريد إلكتروني تم التحقق منه على stanford.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
4422021
Causal abstractions of neural networks‏
A Geiger, H Lu, T Icard, C Potts‏
Advances in Neural Information Processing Systems 34, 9574-9586, 2021‏
2112021
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
1022020
Interpretability at scale: Identifying causal mechanisms in alpaca‏
Z Wu, A Geiger, T Icard, C Potts, N Goodman‏
Advances in neural information processing systems 36, 78205-78226, 2023‏
922023
DynaSent: A dynamic benchmark for sentiment analysis‏
C Potts, Z Wu, A Geiger, D Kiela‏
arXiv preprint arXiv:2012.15349, 2020‏
862020
Finding alignments between interpretable causal variables and distributed neural representations‏
A Geiger, Z Wu, C Potts, T Icard, N Goodman‏
Causal Learning and Reasoning, 160-187, 2024‏
852024
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
822022
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
682016
Causal abstraction: A theoretical foundation for mechanistic interpretability‏
A Geiger, D Ibeling, A Zur, M Chaudhary, S Chauhan, J Huang, A Arora, ...‏
arXiv preprint arXiv:2301.04709, 2023‏
67*2023
Reft: Representation finetuning for language models‏
Z Wu, A Arora, Z Wang, A Geiger, D Jurafsky, CD Manning, C Potts‏
Advances in Neural Information Processing Systems 37, 63908-63962, 2024‏
582024
Language Models Linearly Represent Sentiment‏
O Hollinsworth, C Tigges, A Geiger, N Nanda‏
Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting …, 2024‏
53*2024
Cebab: Estimating the causal effects of real-world concepts on nlp model behavior‏
ED Abraham, K D'Oosterlinck, A Feder, Y Gat, A Geiger, C Potts, ...‏
Advances in Neural Information Processing Systems 35, 17582-17596, 2022‏
502022
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
492019
Rigorously assessing natural language explanations of neurons‏
J Huang, A Geiger, K D'Oosterlinck, Z Wu, C Potts‏
arXiv preprint arXiv:2309.10312, 2023‏
372023
Causal proxy models for concept-based model explanations‏
Z Wu, K D’Oosterlinck, A Geiger, A Zur, C Potts‏
International conference on machine learning, 37313-37334, 2023‏
372023
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
342019
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
282018
Ravel: Evaluating interpretability methods on disentangling language model representations‏
J Huang, Z Wu, C Potts, M Geva, A Geiger‏
arXiv preprint arXiv:2402.17700, 2024‏
232024
Relational reasoning and generalization using nonsymbolic neural networks.‏
A Geiger, A Carstensen, MC Frank, C Potts‏
Psychological Review 130 (2), 308, 2023‏
232023
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
232021
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مقالات 1–20