Julian Martin Eisenschlos
Google (Switzerland)(CH)
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Data Quality and Management, Advanced Text Analysis Techniques
Most-Cited Works
- → MultiFiT: Efficient Multi-lingual Language Model Fine-tuning(2019)93 cited
- → MATE: Multi-view Attention for Table Transformer Efficiency(2021)61 cited
- → DePlot: One-shot visual language reasoning by plot-to-table translation(2023)50 cited
- → Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding(2022)45 cited
- → MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering(2023)35 cited
- → TaPas: Weakly Supervised Table Parsing via Pre-training(2020)19 cited
- → Table-To-Text generation and pre-training with TabT5(2022)18 cited
- → Time-Aware Language Models as Temporal Knowledge Bases(2022)14 cited
- → Selectively Answering Ambiguous Questions(2023)13 cited
- → PaliGemma: A versatile 3B VLM for transfer(2024)11 cited