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An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

G. Bhatt, Y. Chen, A. Das, J. Zhang, S. Truong, S. Mussmann, Y. Zhu, J. Bilmes, S. Du, K. Jamieson, J. Ash, and R. Nowak. ACL (Findings), page 6549-6560. Association for Computational Linguistics, (2024)

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Adrienne Ash

Ash Booth

Winfrid Ashoff

Theodor Asher

Wolfgang Asholt

Other publications of authors with the same name

Streaming Active Learning with Deep Neural Networks.A. Saran, S. Yousefi, A. Krishnamurthy, J. Langford, and J. Ash. ICML, volume 202 of Proceedings of Machine Learning Research, page 30005-30021. PMLR, (2023)Understanding Contrastive Learning Requires Incorporating Inductive Biases.N. Saunshi, J. Ash, S. Goel, D. Misra, C. Zhang, S. Arora, S. Kakade, and A. Krishnamurthy. ICML, volume 162 of Proceedings of Machine Learning Research, page 19250-19286. PMLR, (2022)End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations.G. Gundersen, B. Dumitrascu, J. Ash, and B. Engelhardt. UAI, volume 115 of Proceedings of Machine Learning Research, page 945-955. AUAI Press, (2019)On Warm-Starting Neural Network Training.J. Ash, and R. Adams. NeurIPS, (2020)Learning Composable Energy Surrogates for PDE Order Reduction.A. Beatson, J. Ash, G. Roeder, T. Xue, and R. Adams. NeurIPS, (2020)Transformers Learn Shortcuts to Automata.B. Liu, J. Ash, S. Goel, A. Krishnamurthy, and C. Zhang. ICLR, OpenReview.net, (2023)Multi-Source Domain Adaptation Using Approximate Label Matching.J. Ash, and R. Schapire. CoRR, (2016)Investigating the Role of Negatives in Contrastive Representation Learning.J. Ash, S. Goel, A. Krishnamurthy, and D. Misra. CoRR, (2021)Understanding and Improving Neural Active Learning on Heteroskedastic Distributions.S. Khosla, C. Whye, J. Ash, C. Zhang, K. Kawaguchi, and A. Lamb. ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 1248-1255. IOS Press, (2023)Gone Fishing: Neural Active Learning with Fisher Embeddings.J. Ash, S. Goel, A. Krishnamurthy, and S. Kakade. NeurIPS, page 8927-8939. (2021)

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Disambiguation of "Ash, Jordan T."

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An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

Please choose a person to relate this publication to

Adrienne Ash

Ash Booth

Winfrid Ashoff

Theodor Asher

Wolfgang Asholt

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ash, Jordan T."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

Please choose a person to relate this publication to

Adrienne Ash

Ash Booth

Winfrid Ashoff

Theodor Asher

Wolfgang Asholt

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

An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.