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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Edalati, A., Ghaffari, A., Ghazvini Nejad, M., Hou, L., Chen, B., Asgharian, M., & Partovi Nia, V. (2025, February). OAC: Output-adaptive Calibration for Accurate Post-training Quantization [Paper]. 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, PA, USA. Published in Proceedings of the AAAI Conference on Artificial Intelligence, 39(16). External link
Ghaffari, A., Younesian, S., Chen, B., Partovi Nia, V., & Asgharian, M. (2025, February). Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach [Paper]. 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2025), Porto, Portugal. External link
Ghaffari, A., Yu, J., Nejad, M., Asgharian, M., Chen, B., & Partovi Nia, V. (2024, February). Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models [Paper]. 13th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2024), Rome, Italy. External link
Huang, J., Parthasarathi, P., Rezagholizadeh, M., Chen, B., & Anbil Parthipan, S. C. (2025, July). Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination [Paper]. Findings of the Association for Computational Linguistics: ACL 2025, Vienna, Austria. External link
Wang, X., Partovi Nia, V., Lü, P., Huang, J., Chang, X.-W., Chen, B., & Cui, Y. (2025, October). PoT-PTQ: Two-Step Power-of-Two Post-Training for LLMs [Paper]. 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy. Published in Frontiers in artificial intelligence and applications. External link
