Marzieh S. Tahaei

According to our database, Marzieh S. Tahaei authored at least 21 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generation.

Faezeh Faez, Marzieh S. Tahaei, Yaochen Hu, Ali Pourranjbar, Mahdi Biparva, Mark Coates, Yingxue Zhang

Trans. Mach. Learn. Res., 2026

2025

SCOUT: Toward Sub-Quadratic Attention via Segment Compression for Optimized Utility in Transformers.

Aref Jafari, Yuhe Fan, Benyamin Jamialahmadi, Parsa Farinneya, Boxing Chen, Marzieh S. Tahaei

CoRR, September, 2025

DTRNet: Dynamic Token Routing Network to Reduce Quadratic Costs in Transformers.

Aman Sharma, Saeed Najafi, Parsa Farinneya, Benyamin Jamialahmadi, Marzieh S. Tahaei, Yuhe Fan, Mehdi Rezagholizadeh, Boxing Chen, Aref Jafari

CoRR, September, 2025

Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models.

Benyamin Jamialahmadi, Parsa Kavehzadeh, Mehdi Rezagholizadeh, Parsa Farinneya, Hossein Rajabzadeh, Aref Jafari, Boxing Chen, Marzieh S. Tahaei

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification.

Marzieh S. Tahaei, Aref Jafari, Ahmad Rashid, David Alfonso-Hermelo, Khalil Bibi, Yimeng Wu, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning.

Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh S. Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference.

Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

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

Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

CoRR, 2023

SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks.

Mojtaba Valipour, Mehdi Rezagholizadeh, Hossein Rajabzadeh, Marzieh S. Tahaei, Boxing Chen, Ali Ghodsi

CoRR, 2023

On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications.

Vamsikrishna Chemudupati, Marzieh S. Tahaei, Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Boxing Chen, Tiago H. Falk

CoRR, 2023

Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation.

Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Towards Low-Cost Learning-based Camera ISP via Unrolled Optimization.

Ali Mosleh, Marzieh S. Tahaei, James J. Clark, Vahid Partovi Nia

Proceedings of the 20th Conference on Robots and Vision, 2023

2022

KronA: Parameter Efficient Tuning with Kronecker Adapter.

Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh

CoRR, 2022

SeKron: A Decomposition Method Supporting Many Factorization Structures.

Marawan Gamal Abdel Hameed, Ali Mosleh, Marzieh S. Tahaei, Vahid Partovi Nia

CoRR, 2022

Integer Fine-tuning of Transformer-based Models.

Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia

CoRR, 2022

Is Integer Arithmetic Enough for Deep Learning Training?

Alireza Ghaffari, Marzieh S. Tahaei, Mohammadreza Tayaranian, Masoud Asgharian, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation.

Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Kronecker Decomposition for GPT Compression.

Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition.

Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation.

Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh

CoRR, 2021

2012

Nonlinear Unsupervised Feature Learning: How Local Similarities Lead to Global Coding.

Amirreza Shaban, Hamid R. Rabiee, Marzieh S. Tahaei, Erfan Salavati

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012