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ORCIDJulian Michael
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2020 – today
- 2024
[c19]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: 3781-3798- [i21]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 abs/2403.05518 (2024) - [i20]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 abs/2405.01502 (2024) - [i19]Samuel Arnesen, David Rein, Julian Michael:
Training Language Models to Win Debates with Self-Play Improves Judge Accuracy. CoRR abs/2409.16636 (2024) - [i18]Alwin Peng, Julian Michael, Henry Sleight, Ethan Perez, Mrinank Sharma:
Rapid Response: Mitigating LLM Jailbreaks with a Few Examples. CoRR abs/2411.07494 (2024) - 2023
- [b1]Julian Michael:
Building Blocks for Data-Driven Theories of Language Understanding. University of Washington, USA, 2023 - [c18]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: 16334-16368 - [c17]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: 790-807 - [c16]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 - [i17]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 abs/2304.14399 (2023) - [i16]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 abs/2305.04388 (2023) - [i15]Julian Michael, Salsabila Mahdi, David Rein, Jackson Petty, Julien Dirani, Vishakh Padmakumar, Samuel R. Bowman:
Debate Helps Supervise Unreliable Experts. CoRR abs/2311.08702 (2023) - [i14]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 abs/2311.12022 (2023) - [i13]Julian Michael:
The Case for Scalable, Data-Driven Theory: A Paradigm for Scientific Progress in NLP. CoRR abs/2312.00349 (2023) - 2022
- [c15]Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer:
Nearest Neighbor Zero-Shot Inference. EMNLP 2022: 3254-3265 - [i12]Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer:
Nearest Neighbor Zero-Shot Inference. CoRR abs/2205.13792 (2022) - [i11]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 abs/2208.12852 (2022) - 2021
- [c14]Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer:
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. ACL/IJCNLP (Findings) 2021: 4179-4192 - [c13]Julian Michael, Luke Zettlemoyer:
Inducing Semantic Roles Without Syntax. ACL/IJCNLP (Findings) 2021: 4427-4442 - [c12]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: 1429-1441 - [i10]Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi:
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. CoRR abs/2106.06823 (2021) - [i9]Valentina Pyatkin, Paul Roit, Julian Michael, Reut Tsarfaty, Yoav Goldberg, Ido Dagan:
Asking It All: Generating Contextualized Questions for any Semantic Role. CoRR abs/2109.04832 (2021) - 2020
- [c11]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: 7008-7013 - [c10]Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer:
AmbigQA: Answering Ambiguous Open-domain Questions. EMNLP (1) 2020: 5783-5797 - [c9]Julian Michael, Jan A. Botha, Ian Tenney:
Asking without Telling: Exploring Latent Ontologies in Contextual Representations. EMNLP (1) 2020: 6792-6812 - [i8]Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer:
AmbigQA: Answering Ambiguous Open-domain Questions. CoRR abs/2004.10645 (2020) - [i7]Julian Michael, Jan A. Botha, Ian Tenney:
Asking without Telling: Exploring Latent Ontologies in Contextual Representations. CoRR abs/2004.14513 (2020)
2010 – 2019
- 2019
- [c8]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 - [c7]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: 3261-3275 - [i6]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 abs/1905.00537 (2019) - [i5]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 abs/1911.03243 (2019) - 2018
- [c6]Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer:
Large-Scale QA-SRL Parsing. ACL (1) 2018: 2051-2060 - [c5]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: 353-355 - [c4]Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer:
Crowdsourcing Question-Answer Meaning Representations. NAACL-HLT (2) 2018: 560-568 - [c3]Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan:
Supervised Open Information Extraction. NAACL-HLT 2018: 885-895 - [i4]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 abs/1804.07461 (2018) - [i3]Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer:
Large-Scale QA-SRL Parsing. CoRR abs/1805.05377 (2018) - 2017
- [i2]Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer:
Crowdsourcing Question-Answer Meaning Representations. CoRR abs/1711.05885 (2017) - 2016
- [j1]Amelia Harrison, Vladimir Lifschitz, Julian Michael:
Proving infinitary formulas. Theory Pract. Log. Program. 16(5-6): 787-799 (2016) - [c2]Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer:
Human-in-the-Loop Parsing. EMNLP 2016: 2337-2342 - [i1]Amelia Harrison, Vladimir Lifschitz, Julian Michael:
Proving Infinitary Formulas. CoRR abs/1608.01626 (2016) - 2015
- [c1]Daniel Bailey, Amelia J. Harrison, Yuliya Lierler, Vladimir Lifschitz, Julian Michael:
The Winograd Schema Challenge and Reasoning about Correlation. AAAI Spring Symposia 2015
Coauthor Index
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