publications
2024
- Scalable Influence and Fact Tracing for Large Language Model PretrainingarXiv preprint, 2024
- Tech ReportGemma: Open Models Based on Gemini Research and TechnologyGoogle DeepMind, 2024
- Can Generative Multimodal Models Count to Ten?In Proceedings of the Annual Meeting of the Cognitive Science Society, 2024
- LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language ModelsIEEE Transactions on Visualization and Computer Graphics, 2024
2023
- From Discovery to Adoption: Understanding the ML Practitioners’ Interpretability JourneyIn Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023
2022
2020
- Measuring and reducing gendered correlations in pre-trained modelsarXiv preprint, 2020
- The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP ModelsIn Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
- Asking without Telling: Exploring Latent Ontologies in Contextual RepresentationsIn Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
- Do Language Embeddings capture Scales?In Findings of the Association for Computational Linguistics: EMNLP, 2020
- What Happens To BERT Embeddings During Fine-tuning?In Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020
2019
2018
- WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and DiscourseIn Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018
Older
- Collisional decoherence and rotational quasirevivals in asymmetric-top moleculesPhysical Review A, 2016