Julian Martin Eisenschlos

Author

Google (United States)

Also Known As

Bai, Libin, Eisenschlos, Julian, Eisenschlos, Julian Martin, Julian Eisenschlos, Julian Martin Eisenschlos

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

Google (United States)University of Cambridge

About

Julian Martin Eisenschlos is an author at Google (United States) specializing in natural language processing, computational linguistics, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	238
2	Language Studies	4	4	220
3	Linguistics	4	4	220
4	Computer Science	3	3	112
5	Romance Languages	2	2	83

Julian Martin Eisenschlos

Publications

353

Citations

H-Index

Page 1

	Year	Citations
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning Julian Martin Eisenschlos, Sebastian Ruder, Piotr Czapla, Natural Language ProcessingApplied LinguisticsEngineeringCross-lingual RepresentationMultilingualism	2019	92
MATE: Multi-view Attention for Table Transformer Efficiency Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing	2021	59
DePlot: One-shot visual language reasoning by plot-to-table translation Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, EngineeringLanguage ProcessingText MiningNatural Language ProcessingApplied Linguistics	2023	49
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding Kenton Lee, Mandar Joshi, Iulia Turc, arXiv (Cornell University) Natural Language ProcessingVisually-situated LanguageMultimodal LlmSyntaxEngineering	2022	45
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering Fangyu Liu, Francesco Piccinno, Syrine Krichene, EngineeringLanguage ProcessingNatural Language ProcessingApplied LinguisticsMultimodal Llm	2023	34
TaPas: Weakly Supervised Table Parsing via Pre-training Jonathan Herzig, Paweł Krzysztof Nowak, Thomas Müller,	2020	19
Table-To-Text generation and pre-training with TabT5 Ewa Andrejczuk, Julian Martin Eisenschlos, Francesco Piccinno, Structured PredictionLlm Fine-tuningTable-to-text GenerationEngineeringMachine Learning	2022	18
Time-Aware Language Models as Temporal Knowledge Bases Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Transactions of the Association for Computational Linguistics	2022	14
Selectively Answering Ambiguous Questions Jeremy R. Cole, Michael Zhang, Daniel Gillick,	2023	13
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding Zilong Wang, Hao Zhang, Chunliang Li, arXiv (Cornell University)	2024	10

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