Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Language models are multilingual chain-of-thought reasoners.

F. Shi, M. Suzgun, M. Freitag, X. Wang, S. Srivats, S. Vosoughi, H. Chung, Y. Tay, S. Ruder, D. Zhou, D. Das, and J. Wei. ICLR, OpenReview.net, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Suzgun, Mirac

add a person with the name Suzgun, Mirac

Other publications of authors with the same name

Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages.M. Suzgun, S. Gehrmann, Y. Belinkov, and S. Shieber. CoRR, (2019)On Evaluating the Generalization of LSTM Models in Formal Languages.M. Suzgun, Y. Belinkov, and S. Shieber. CoRR, (2018)LSTM Networks Can Perform Dynamic Counting.M. Suzgun, S. Gehrmann, Y. Belinkov, and S. Shieber. CoRR, (2019)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsA. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Scaling Instruction-Finetuned Language Models.H. Chung, L. Hou, S. Longpre, B. Zoph, Y. Tay, W. Fedus, E. Li, X. Wang, M. Dehghani, S. Brahma and 21 other author(s). CoRR, (2022)The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications.M. Suzgun, L. Melas-Kyriazi, S. Sarkar, S. Kominers, and S. Shieber. CoRR, (2022)Monte Carlo Tree Search for Interpreting Stress in Natural Language.K. Swanson, J. Hsu, and M. Suzgun. LT-EDI, page 107-119. Association for Computational Linguistics, (2022)Language models are multilingual chain-of-thought reasoners.F. Shi, M. Suzgun, M. Freitag, X. Wang, S. Srivats, S. Vosoughi, H. Chung, Y. Tay, S. Ruder, D. Zhou and 2 other author(s). ICLR, OpenReview.net, (2023)Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.M. Suzgun, N. Scales, N. Schärli, S. Gehrmann, Y. Tay, H. Chung, A. Chowdhery, Q. Le, E. Chi, D. Zhou and 1 other author(s). CoRR, (2022)Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding.M. Suzgun, and A. Kalai. CoRR, (2024)

BibSonomy

Disambiguation of "Suzgun, Mirac"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Language models are multilingual chain-of-thought reasoners.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Suzgun, Mirac"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Language models are multilingual chain-of-thought reasoners.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Language models are multilingual chain-of-thought reasoners.