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Parsa Kavehzadeh
Parsa Kavehzadeh
AI Researcher, Noah's Ark Lab, Huawei Technologies
E-mail confirmado em yorku.ca - Página inicial
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Chart Question Answering: State of the Art and Future Directions
E Hoque, P Kavehzadeh, A Masry
arXiv preprint arXiv:2205.03966, 2022
242022
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning
A Masry, P Kavehzadeh, XL Do, E Hoque, S Joty
EMNLP - 2023, 2023
222023
Sortednet, a place for every network and every network in its place: Towards a generalized solution for training many-in-one neural networks
M Valipour, M Rezagholizadeh, H Rajabzadeh, M Tahaei, B Chen, ...
arXiv preprint arXiv:2309.00255, 2023
42023
Unsupervised Anomaly Detection on Node Attributed Networks: A Deep Learning Approach
P Kavehzadeh, M Samadi, M Amir Haeri
2021 The 4th International Conference on Information Science and Systems, 35-40, 2021
32021
A Transformer-based Approach for Persian Text Chunking
P Kavehzadeh, MM Abdollah Pour, S Momtazi
Journal of AI and Data Mining, 2022
22022
Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization
XL Do, M Hassanpour, A Masry, P Kavehzadeh, E Hoque, S Joty
arXiv preprint arXiv:2312.10610, 2023
12023
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, ...
Findings of the Association for Computational Linguistics: EACL 2024, 2129-2145, 2024
2024
Chart Question Answering with an Universal Vision-Language Pretraining Approach
P Kavehzadeh
2023
Deep Transformer-based Representation for Text Chunking
P Kavehzadeh, MM Abdollah Pour, S Momtazi
Journal of Information Systems and Telecommunication (JIST) 3 (43), 176, 2023
2023
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