7 citations · 12 across the 4 of their papers we have counts for
4 papers
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
Mohammad Mahdi Abootorabi, Amirhosein Zobeiri, Mahdi Dehghani +5
Large Language Models (LLMs) suffer from hallucinations and outdated knowledge due to their reliance on static training data. Retrieval-Augmented Generation (RAG) mitigates these i…
Predicting the Understandability of Computational Notebooks through Code Metrics Analysis
Mojtaba Mostafavi Ghahfarokhi, Alireza Asadi, Arash Asgari +3
Computational notebooks are the primary coding tools for data scientists, but their code quality remains understudied and often poor. Given the importance of maintainability and re…
Mokav: Execution-driven Differential Testing with LLMs
Khashayar Etemadi, Bardia Mohammadi, Zhendong Su +1
It is essential to detect functional differences between programs in various software engineering tasks, such as automated program repair, mutation testing, and code refactoring. T…
ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning
Mohammmadmahdi Maheri, Reza Abdollahzadeh, Bardia Mohammadi +3
In practical scenarios, the effectiveness of sequential recommendation systems is hindered by the user cold-start problem, which arises due to limited interactions for accurately d…