Julian Michael

According to our database, Julian Michael authored at least 23 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought.

James Chua, Edward Rees, Hunar Batra, Samuel R. Bowman, Julian Michael, Ethan Perez, Miles Turpin

CoRR, 2024

2023

The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP.

Julian Michael

CoRR, 2023

GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, Samuel R. Bowman

CoRR, 2023

Debate Helps Supervise Unreliable Experts.

Julian Michael, Salsabila Mahdi, David Rein, Jackson Petty, Julien Dirani, Vishakh Padmakumar, Samuel R. Bowman

CoRR, 2023

Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting.

Miles Turpin, Julian Michael, Ethan Perez, Samuel R. Bowman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

We're Afraid Language Models Aren't Modeling Ambiguity.

Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

What Do NLP Researchers Believe? Results of the NLP Community Metasurvey.

Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Nearest Neighbor Zero-Shot Inference.

Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Asking It All: Generating Contextualized Questions for any Semantic Role.

Valentina Pyatkin, Paul Roit, Julian Michael, Yoav Goldberg, Reut Tsarfaty, Ido Dagan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Prompting Contrastive Explanations for Commonsense Reasoning Tasks.

Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Inducing Semantic Roles Without Syntax.

Julian Michael, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

AmbigQA: Answering Ambiguous Open-domain Questions.

Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Asking without Telling: Exploring Latent Ontologies in Contextual Representations.

Julian Michael, Jan A. Botha, Ian Tenney

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Controlled Crowdsourcing for High-Quality QA-SRL Annotation.

Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Crowdsourcing a High-Quality Gold Standard for QA-SRL.

Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan

CoRR, 2019

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems.

Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Supervised Open Information Extraction.

Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Crowdsourcing Question-Answer Meaning Representations.

Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Large-Scale QA-SRL Parsing.

Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

Proving infinitary formulas.

Amelia Harrison, Vladimir Lifschitz, Julian Michael

Theory Pract. Log. Program., 2016

Human-in-the-Loop Parsing.

Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

The Winograd Schema Challenge and Reasoning about Correlation.

Daniel Bailey, Amelia J. Harrison, Yuliya Lierler, Vladimir Lifschitz, Julian Michael

Proceedings of the 2015 AAAI Spring Symposia, 2015