Unsupervised Anomaly Detection on Node Attributed Networks: A Deep Learning Approach. - Parsa Kavehzadeh; Mohammadreza Samadi; Maryam Amir Haeri (ICISS, 2021)

Chart Question Answering: State of the Art and Future Directions. - Enamul Hoque; Parsa Kavehzadeh; Ahmed Masry (Comput. Graph. Forum, 2022)

UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning. - Ahmed Masry; Parsa Kavehzadeh; Do Xuan Long; Enamul Hoque; Shafiq Joty (EMNLP, 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 001; Boxing Chen; Mehdi Rezagholizadeh (CoRR, 2023)

Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization. - Xuan Long Do; Mohammad Hassanpour; Ahmed Masry; Parsa Kavehzadeh; Enamul Hoque; Shafiq Joty (CoRR, 2023)

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference. - Parsa Kavehzadeh; Mojtaba Valipour; Marzieh S. Tahaei; Ali Ghodsi 001; Boxing Chen; Mehdi Rezagholizadeh (EACL (Findings), 2024)

S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models. - Parsa Kavehzadeh; Mohammadreza Pourreza; Mojtaba Valipour; Tinashu Zhu; Haoli Bai; Ali Ghodsi 001; Boxing Chen; Mehdi Rezagholizadeh (CoRR, 2024)

Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models. - Benyamin Jamialahmadi 001; Parsa Kavehzadeh; Mehdi Rezagholizadeh; Parsa Farinneya; Hossein Rajabzadeh; Aref Jafari; Boxing Chen; Marzieh S. Tahaei (CoRR, 2025)