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Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.

H. Bansal, K. Gopalakrishnan, S. Dingliwal, S. Bodapati, K. Kirchhoff, and D. Roth. CoRR, (2022)

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Saket Sathe

Saket Navlakha

Other publications of authors with the same name

Robust Handwriting Recognition with Limited and Noisy Data.H. Pham, A. Setlur, S. Dingliwal, T. Lin, B. Póczos, K. Huang, Z. Li, J. Lim, C. McCormack, and T. Vu. ICFHR, page 301-306. IEEE, (2020)Few Shot Dialogue State Tracking using Meta-learning.S. Dingliwal, S. Gao, S. Agarwal, C. Lin, T. Chung, and D. Hakkani-Tür. EACL, page 1730-1739. Association for Computational Linguistics, (2021)Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems.S. Dingliwal, A. Shenoy, S. Bodapati, A. Gandhe, R. Gadde, and K. Kirchhoff. CoRR, (2021)Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters.A. Bhatia, S. Sinha, S. Dingliwal, K. Gopalakrishnan, S. Bodapati, and K. Kirchhoff. CoRR, (2023)Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.H. Bansal, K. Gopalakrishnan, S. Dingliwal, S. Bodapati, K. Kirchhoff, and D. Roth. ACL (1), page 11833-11856. Association for Computational Linguistics, (2023)CVC4-SymBreak: Derived SMT solver at SMT Competition 2019.S. Dingliwal, R. Agarwal, H. Mittal, and P. Singla. CoRR, (2019)Covariate Distribution Aware Meta-learning.A. Setlur, S. Dingliwal, and B. Póczos. CoRR, (2020)Efficient domain adaptation of language models in ASR systems using Prompt-tuning.S. Dingliwal, A. Shenoy, S. Bodapati, A. Gandhe, R. Gadde, and K. Kirchhoff. CoRR, (2021)Finding Input Characterizations for Output Properties in ReLU Neural Networks.S. Dingliwal, D. Pareek, and J. Arora. CoRR, (2020)Few Shot Dialogue State Tracking using Meta-learning.S. Dingliwal, B. Gao, S. Agarwal, C. Lin, T. Chung, and D. Hakkani-Tür. CoRR, (2021)

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Disambiguation of "Dingliwal, Saket"

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Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.

Please choose a person to relate this publication to

Saket Sathe

Saket Navlakha

Other publications of authors with the same name

Disambiguation

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Disambiguation of "Dingliwal, Saket"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.

Please choose a person to relate this publication to

Saket Sathe

Saket Navlakha

Other publications of authors with the same name

Disambiguation

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Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.