Shirkavand, Reza

6 publications

TMLR 2026 ToMoE: Converting Dense Large Language Models to Mixture-of-Experts Through Dynamic Structural Pruning Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zheng Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Jie Xu, Yen-Chang Hsu

ICCV 2025 ARGUS: Hallucination and Omission Evaluation in Video-LLMs Ruchit Rawal, Reza Shirkavand, Heng Huang, Gowthami Somepalli, Tom Goldstein

NeurIPS 2025 Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training Reza Shirkavand, Peiran Yu, Qi He, Heng Huang

NeurIPS 2025 Cost-Aware Contrastive Routing for LLMs Reza Shirkavand, Shangqian Gao, Peiran Yu, Heng Huang

CVPR 2025 Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang

ICLR 2025 Not All Prompts Are Made Equal: Prompt-Based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang