Julian Michael

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Natural Language Understanding

Nearest Neighbor

Question Answer

Information Extraction

Top Venues

Publications

James Chua, Edward Rees, Hunar Batra, Samuel R. Bowman, Julian Michael, Ethan Perez, Miles Turpin
Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought. CoRR (2024)
Zhijing Jin, Yuen Chen, Fernando Gonzalez Adauto, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona T. Diab
Analyzing the Role of Semantic Representations in the Era of Large Language Models. NAACL-HLT (2024)
Zhijing Jin, Yuen Chen, Fernando Gonzalez, Jiarui Liu, Jiayi Zhang, Julian Michael, Bernhard Schölkopf, Mona T. Diab
Analyzing the Role of Semantic Representations in the Era of Large Language Models. CoRR (2024)
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
We're Afraid Language Models Aren't Modeling Ambiguity. EMNLP (2023)
Miles Turpin, Julian Michael, Ethan Perez, Samuel R. Bowman
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting. CoRR (2023)
Julian Michael, Salsabila Mahdi, David Rein, Jackson Petty, Julien Dirani, Vishakh Padmakumar, Samuel R. Bowman
Debate Helps Supervise Unreliable Experts. CoRR (2023)
Julian Michael
The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP. CoRR (2023)
Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. ACL (1) (2023)
Miles Turpin, Julian Michael, Ethan Perez, Samuel R. Bowman
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting. NeurIPS (2023)
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, Yejin Choi
We're Afraid Language Models Aren't Modeling Ambiguity. CoRR (2023)
David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, Samuel R. Bowman
GPQA: A Graduate-Level Google-Proof Q&A Benchmark. CoRR (2023)
Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. CoRR (2022)
Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer
Nearest Neighbor Zero-Shot Inference. EMNLP (2022)
Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer
Nearest Neighbor Zero-Shot Inference. CoRR (2022)
Valentina Pyatkin, Paul Roit, Julian Michael, Reut Tsarfaty, Yoav Goldberg, Ido Dagan
Asking It All: Generating Contextualized Questions for any Semantic Role. CoRR (2021)
Julian Michael, Luke Zettlemoyer
Inducing Semantic Roles Without Syntax. ACL/IJCNLP (Findings) (2021)
Valentina Pyatkin, Paul Roit, Julian Michael, Yoav Goldberg, Reut Tsarfaty, Ido Dagan
Asking It All: Generating Contextualized Questions for any Semantic Role. EMNLP (1) (2021)
Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. CoRR (2021)
Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. ACL/IJCNLP (Findings) (2021)
Julian Michael, Jan A. Botha, Ian Tenney
Asking without Telling: Exploring Latent Ontologies in Contextual Representations. EMNLP (1) (2020)
Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer
AmbigQA: Answering Ambiguous Open-domain Questions. CoRR (2020)
Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer
AmbigQA: Answering Ambiguous Open-domain Questions. EMNLP (1) (2020)
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
Controlled Crowdsourcing for High-Quality QA-SRL Annotation. ACL (2020)
Julian Michael, Jan A. Botha, Ian Tenney
Asking without Telling: Exploring Latent Ontologies in Contextual Representations. CoRR (2020)
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. CoRR (2019)
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. ICLR (Poster) (2019)
Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan
Crowdsourcing a High-Quality Gold Standard for QA-SRL. CoRR (2019)
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. NeurIPS (2019)
Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer
Large-Scale QA-SRL Parsing. CoRR (2018)
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. BlackboxNLP@EMNLP (2018)
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. CoRR (2018)
Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer
Large-Scale QA-SRL Parsing. ACL (1) (2018)
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan
Supervised Open Information Extraction. NAACL-HLT (2018)
Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer
Crowdsourcing Question-Answer Meaning Representations. NAACL-HLT (2) (2018)
Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer
Crowdsourcing Question-Answer Meaning Representations. CoRR (2017)
Amelia Harrison, Vladimir Lifschitz, Julian Michael
Proving infinitary formulas. Theory Pract. Log. Program. 16 (5-6) (2016)
Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer
Human-in-the-Loop Parsing. EMNLP (2016)
Amelia Harrison, Vladimir Lifschitz, Julian Michael
Proving Infinitary Formulas. CoRR (2016)
Daniel Bailey, Amelia J. Harrison, Yuliya Lierler, Vladimir Lifschitz, Julian Michael
The Winograd Schema Challenge and Reasoning about Correlation. AAAI Spring Symposia (2015)