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k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text.

A. Hou, J. Zhang, Y. Wang, D. Khashabi, and T. He. ACL (Findings), page 1706-1715. Association for Computational Linguistics, (2024)

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Mehrnoush Khashabi

Daniel

Other publications of authors with the same name

Learning What is Essential in Questions.D. Khashabi, T. Khot, A. Sabharwal, and D. Roth. CoNLL, page 80-89. Association for Computational Linguistics, (2017)Cross-Task Generalization via Natural Language Crowdsourcing Instructions.S. Mishra, D. Khashabi, C. Baral, and H. Hajishirzi. ACL (1), page 3470-3487. Association for Computational Linguistics, (2022)Reframing Instructional Prompts to GPTk's Language.D. Khashabi, C. Baral, Y. Choi, and H. Hajishirzi. ACL (Findings), page 589-612. Association for Computational Linguistics, (2022)Hey AI, Can You Solve Complex Tasks by Talking to Agents?T. Khot, K. Richardson, D. Khashabi, and A. Sabharwal. ACL (Findings), page 1808-1823. Association for Computational Linguistics, (2022)DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation.W. Tan, J. Zhang, L. Shen, D. Khashabi, and P. Koehn. CoRR, (2024)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.A. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso and 440 other author(s). Trans. Mach. Learn. Res., (2023)Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency.L. Shen, W. Tan, B. Zheng, and D. Khashabi. EMNLP (Findings), page 7795-7817. Association for Computational Linguistics, (2023)k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text.A. Hou, J. Zhang, Y. Wang, D. Khashabi, and T. He. ACL (Findings), page 1706-1715. Association for Computational Linguistics, (2024)Do pretrained Transformers Really Learn In-context by Gradient Descent?L. Shen, A. Mishra, and D. Khashabi. CoRR, (2023)Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models.T. Khot, D. Khashabi, K. Richardson, P. Clark, and A. Sabharwal. NAACL-HLT, page 1264-1279. Association for Computational Linguistics, (2021)

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Disambiguation of "Khashabi, Daniel"

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k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text.

Please choose a person to relate this publication to

Mehrnoush Khashabi

Mehrnoush Khashabi

Mehrnoush Khashabi

Mehrnoush Khashabi

Daniel

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Khashabi, Daniel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text.

Please choose a person to relate this publication to

Mehrnoush Khashabi

Mehrnoush Khashabi

Mehrnoush Khashabi

Mehrnoush Khashabi

Daniel

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
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APA
Chicago
DIN 1505
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k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text.