Atticus Geiger
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Explainable Artificial Intelligence (XAI), Multimodal Machine Learning Applications, Bayesian Modeling and Causal Inference
Most-Cited Works
- → Posing Fair Generalization Tasks for Natural Language Inference(2019)41 cited
- → Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences(2018)23 cited
- Hybrid Pluggable Processing Pipeline (HyP3): A cloud-based infrastructure for generic processing of SAR data(2016)
- → Recursive Routing Networks: Learning to Compose Modules for Language Understanding(2019)14 cited
- → Dynabench: Rethinking Benchmarking in NLP(2021)14 cited
- → Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability(2023)10 cited
- → ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning(2023)9 cited
- → Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations(2023)9 cited
- → Interpretability at Scale: Identifying Causal Mechanisms in Alpaca(2023)8 cited
- → Relational reasoning and generalization using nonsymbolic neural networks.(2022)7 cited