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Parsa Kavehzadeh
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2020 – today
- 2024
- [c3]Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh:
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference. EACL (Findings) 2024: 2129-2145 - [i5]Parsa Kavehzadeh, Mohammadreza Pourreza, Mojtaba Valipour, Tinashu Zhu, Haoli Bai, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh:
S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models. CoRR abs/2407.01955 (2024) - 2023
- [c2]Ahmed Masry, Parsa Kavehzadeh, Do Xuan Long, Enamul Hoque, Shafiq Joty:
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning. EMNLP 2023: 14662-14684 - [i4]Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do, Enamul Hoque, Shafiq R. Joty:
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning. CoRR abs/2305.14761 (2023) - [i3]Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh:
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT). CoRR abs/2309.08968 (2023) - [i2]Xuan Long Do, Mohammad Hassanpour, Ahmed Masry, Parsa Kavehzadeh, Enamul Hoque, Shafiq Joty:
Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization. CoRR abs/2312.10610 (2023) - 2022
- [j1]Enamul Hoque, Parsa Kavehzadeh, Ahmed Masry:
Chart Question Answering: State of the Art and Future Directions. Comput. Graph. Forum 41(3): 555-572 (2022) - [i1]Enamul Hoque, Parsa Kavehzadeh, Ahmed Masry:
Chart Question Answering: State of the Art and Future Directions. CoRR abs/2205.03966 (2022) - 2021
- [c1]Parsa Kavehzadeh, Mohammadreza Samadi
, Maryam Amir Haeri:
Unsupervised Anomaly Detection on Node Attributed Networks: A Deep Learning Approach. ICISS 2021: 35-40
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