{"id":6,"date":"2026-06-17T10:26:43","date_gmt":"2026-06-17T14:26:43","guid":{"rendered":"https:\/\/sites.bu.edu\/met-realab\/news\/"},"modified":"2026-07-27T11:38:12","modified_gmt":"2026-07-27T15:38:12","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/met-realab\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p><strong>Selected Recent Publications: <\/strong><\/p>\n<p>Sharma, T. &#038; Rawassizadeh, R. (2026). NeuroViz: Real-time Interactive Visualization of Forward and Backward Passes in Neural Network Training. arXiv preprint arXiv:2605.02044.<\/p>\n<p>Monfared, V., Rawassizadeh, R. (2026). Small but Specialized: A Domain-Adapted Retrieval-Augmented LLM Outperforms Frontier Generalists in Pediatric and Adolescent Gynecology. medRxiv 2026.07.22.26358688<\/p>\n<p>Monfared, V., Gharib, M. H., Sabri, A., Shahali, M., Rashidi, F., Mehta, A., &#038; Rawassizadeh, R. (2026). Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images. arXiv preprint arXiv:2603.18460.<\/p>\n<p>Wen, Q., Zeng, X., Zihan, Z., Shuaijin, L., Hosseinzadeh, M., &#038; Rawassizadeh, R. (2025). GradES: Significantly Faster Training in Transformers with Gradient-Based Early Stopping. https:\/\/arxiv.org\/abs\/2509.01842.<\/p>\n<p>Wang, H, Hosseinzadeh, M., &#038; Rawassizadeh, R. (2025). TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization. https:\/\/arxiv.org\/abs\/2509.00914.<\/p>\n<p>Tian, Z., Kumar, A. P. K., Krishnakumar, H., &#038; Rawassizadeh, R. (2025). Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention. arXiv preprint arXiv:2507.07247.<\/p>\n<p>Ejimuda, C. U., Longhitano, G., &#038; Rawassizadeh, R. (2025). Analyzing the Resource Utilization of Lambda Functions on Mobile Devices: Case Studies on Kotlin and Swift. IEEE Pervasive Computing 24.2 (2025): 48-51.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Selected Recent Publications: Sharma, T. &#038; Rawassizadeh, R. (2026). NeuroViz: Real-time Interactive Visualization of Forward and Backward Passes in Neural Network Training. arXiv preprint arXiv:2605.02044. Monfared, V., Rawassizadeh, R. (2026). Small but Specialized: A Domain-Adapted Retrieval-Augmented LLM Outperforms Frontier Generalists in Pediatric and Adolescent Gynecology. medRxiv 2026.07.22.26358688 Monfared, V., Gharib, M. H., Sabri, A., Shahali, [&hellip;]<\/p>\n","protected":false},"author":21777,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/met-realab\/wp-json\/wp\/v2\/pages\/6"}],"collection":[{"href":"https:\/\/sites.bu.edu\/met-realab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/met-realab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/met-realab\/wp-json\/wp\/v2\/users\/21777"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/met-realab\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":8,"href":"https:\/\/sites.bu.edu\/met-realab\/wp-json\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":150,"href":"https:\/\/sites.bu.edu\/met-realab\/wp-json\/wp\/v2\/pages\/6\/revisions\/150"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/met-realab\/wp-json\/wp\/v2\/media?parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}