2 citations · 2 across the 4 of their papers we have counts for
4 papers
AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning
Mohammad Reza Rezaei, Maziar Hafezi, Amit Satpathy +2
Recent advancements in QA with LLM, like GPT-4, have shown limitations in handling complex multi-hop queries. We propose AT-RAG, a novel multistep RAG incorporating topic modeling…
CRL+: A Novel Semi-Supervised Deep Active Contrastive Representation Learning-Based Text Classification Model for Insurance Data
Amir Namavar Jahromi, Ebrahim Pourjafari, Hadis Karimipour +2
Financial sector and especially the insurance industry collect vast volumes of text on a daily basis and through multiple channels (their agents, customer care centers, emails, soc…
Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models
Mohammad R. Rezaei, Reza Saadati Fard, Ebrahim Pourjafari +6
The aim of survival analysis in healthcare is to estimate the probability of occurrence of an event, such as a patient's death in an intensive care unit (ICU). Recent developments…
Survival Seq2Seq: A Survival Model based on Sequence to Sequence Architecture
Ebrahim Pourjafari, Navid Ziaei, Mohammad R. Rezaei +5
This paper introduces a novel non-parametric deep model for estimating time-to-event (survival analysis) in presence of censored data and competing risks. The model is designed bas…