Zilong Wang, Hao Zhang, Li, Liang Chu, Julian Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Lee, Yu Che, Chain-of-table: Evolving tables in the reasoning chain for table understanding, Proceedings of ICLR 2024, Blog

Thomas Müller, Jonathan Herzig, Averi Nowak, Julian Eisenschlos, Francesco Piccinno, Syrine Krichene Systems and methods for training language models to reason over tables US Patent App. 11868381B2


Gemini Team, Gemini: a family of highly capable multimodal models, Technical report, Blog

Jeremy Cole, Michael Zhang, Daniel Gillick, Julian Eisenschlos, Bhuwan Dhingra, Jacob Eisenstein, Selectively answering ambiguous questions, Proceedings of EMNLP 2023

Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan Arik, Tomas Pfister, Universal self-adaptive prompting, Proceedings of EMNLP 2023

Fangyu Liu*, Julian Eisenschlos*, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun, Deplot: One-shot visual language reasoning by plot-to-table translation, Findings of ACL 2023, Blog Code

Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Eisenschlos, Matcha: Enhancing visual language pretraining with math reasoning and chart derendering, Proceedings of ACL 2023, Blog Code

Jeremy Cole, Palak Jain, Julian Eisenschlos, Michael Zhang, Eunsol Choi, Bhuwan Dhingra, DiffQG: Generating questions to summarize factual changes, Proceedings of EACL 2023

Julian Eisenschlos, Jeremy Cole, Fangyu Liu, William Cohen, WinoDict: Probing language models for in-context word acquisition, Proceedings of EACL 2023, code, Best Paper Award


Ewa Andrejczuk, Julian Eisenschlos*, Francesco Piccinno, Syrine Krichene, Yasemin Altun, Table-to-text generation and pre-training with TABT5, Findings of EMNLP 2022

Aashna Jena, Vivek Gupta, Manish Shrivastava, Julian Eisenschlos, Leveraging data recasting to enhance tabular reasoning, Findings of EMNLP 2022

Iulia Maria Comşa, Julian Eisenschlos, Srini Narayanan, Miqa: A benchmark for inference on metaphorical questions, Proceedings of AACL 2022, Code

Kenton Lee, Mandar Joshi, Turc, Raluca Iuli, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Chang, Wei Min, Kristina Toutanova, Pix2struct: Screenshot parsing as pretraining for visual language understanding, Proceedings of ICLR 2022, Code

Fangyu Liu, Julian Eisenschlos, Jeremy Cole, Nigel Collier, Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour, Proceedings of AACL 2022

Bhuwan Dhingra, Jeremy Cole, Julian Eisenschlos, Daniel Gillick, Jacob Eisenstein, William Cohen, Time-aware language models as temporal knowledge bases, Transactions of the Association for Computational Linguistics


Julian Eisenschlos, Maharshi Gor, Thomas Mueller, William Cohen, MATE: Multi-view attention for table transformer efficiency, Proceedings of EMNLP 2021 Code

Syrine Krichene, Thomas Müller, Julian Eisenschlos, DoT: An efficient Double Transformer for NLP tasks with tables, Findings of ACL 2021 Code

Julian Eisenschlos, Bhuwan Dhingra, Jannis Bulian, Benjamin Börschinger, Jordan Boyd-Graber, Fool Me Twice: Entailment from Wikipedia Gamification, Proceedings of NAACL 2021 Code

Jonathan Herzig, Thomas Müller, Syrine Krichene, Julian Eisenschlos, Open Domain Question Answering over Tables via Dense Retrieval, Proceedings of NAACL 2021 Code

Thomas Müller, Julian Eisenschlos, Syrine Krichene, TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training, Proceedings of 15th International Workshop on Semantic Evaluation 2021 Code

Tao Lei, Julian Eisenschlos, Modifying text according to a specified attribute, US Patent App. 11610061B2 Application number 16699825


Julian Eisenschlos, Syrine Krichene, Thomas Müller, Understanding tables with intermediate pre-training, Findings of EMNLP 2020 Code Blog

Jonathan Herzig, Averi Nowak, Thomas Müller, Francesco Piccinno, Julian Eisenschlos, TaPas: Weakly Supervised Table Parsing via Pre-training, Proceedings of ACL 2020 Code Blog

Sebastian Prillo*, Julian Eisenschlos* SoftSort: A Continuous Relaxation for the argsort Operator, Proceedings of ICML 2020 Code


Julian Eisenschlos*, Sebastian Ruder*, Piotr Czapla*, Marcin Kadras*, Sylvain Gugger and Jeremy Howard MultiFiT: Efficient Multi-lingual Language Model Fine-tuning, Proceedings of EMNLP 2019 Code

Venky Iyer, Clayton Andrews, Omid Rouhani-Kalleh, Julian Eisenschlos Evaluating likely accuracy of metadata received from social networking system users based on user characteristics US Patent App. 10/061,797 US Patent App. 14/742,639, 2016

Julian Eisenschlos, Venky Iyer Predicting the Quality of New Contributors to a Crowdsourcing System NeurIPS: Crowdsourcing and Machine Learning Workshop 2014

Julian Eisenschlos, Mariano Suárez-Álvarez 3-Calabi-Yau Algebras from Steiner Systems Master Thesis 2013

[*] Equal contribution.