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

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT).

P. Kavehzadeh, M. Valipour, M. Tahaei, A. Ghodsi, B. Chen, and M. Rezagholizadeh. CoRR, (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.

Hossein Parsaei

Saeed Parsa

Ramin Parsa-Parsi

Joseph Wilson Parsalaw

Hamid Reza Parsanejad

Other publications of authors with the same name

Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization.X. Do, M. Hassanpour, A. Masry, P. Kavehzadeh, E. Hoque, and S. Joty. CoRR, (2023)Unsupervised Anomaly Detection on Node Attributed Networks: A Deep Learning Approach.P. Kavehzadeh, M. Samadi, and M. Haeri. ICISS, page 35-40. ACM, (2021)Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT).P. Kavehzadeh, M. Valipour, M. Tahaei, A. Ghodsi, B. Chen, and M. Rezagholizadeh. CoRR, (2023)UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning.A. Masry, P. Kavehzadeh, D. Long, E. Hoque, and S. Joty. EMNLP, page 14662-14684. Association for Computational Linguistics, (2023)UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning.A. Masry, P. Kavehzadeh, X. Do, E. Hoque, and S. Joty. CoRR, (2023)Chart Question Answering: State of the Art and Future Directions.E. Hoque, P. Kavehzadeh, and A. Masry. Comput. Graph. Forum, 41 (3): 555-572 (2022)Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference.P. Kavehzadeh, M. Valipour, M. Tahaei, A. Ghodsi, B. Chen, and M. Rezagholizadeh. EACL (Findings), page 2129-2145. Association for Computational Linguistics, (2024)

BibSonomy

Disambiguation of "Kavehzadeh, Parsa"

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

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT).

Please choose a person to relate this publication to

Hossein Parsaei

Saeed Parsa

Ramin Parsa-Parsi

Joseph Wilson Parsalaw

Hamid Reza Parsanejad

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kavehzadeh, Parsa"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT).

Please choose a person to relate this publication to

Hossein Parsaei

Saeed Parsa

Ramin Parsa-Parsi

Joseph Wilson Parsalaw

Hamid Reza Parsanejad

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

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT).