Sebastian Gehrmann
Bloomberg (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Corporate Taxation and Avoidance, Taxation and Legal Issues, Multimodal Machine Learning Applications
Most-Cited Works
- → PaLM: Scaling Language Modeling with Pathways(2022)2,124 cited
- → Bottom-Up Abstractive Summarization(2018)721 cited
- → LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks(2017)355 cited
- → Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume(2021)307 cited
- → BloombergGPT: A Large Language Model for Finance(2023)299 cited
- → Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives(2018)217 cited
- → Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them(2023)197 cited
- → PaLM 2 Technical Report(2023)159 cited
- → exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models(2020)150 cited
- → The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics(2021)148 cited