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Saad Ezzini

3 accepted papers

2025

AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP

EMNLP 2025

Large language models (LLMs) have shown remarkable progress in reasoning abilities and general natural language processing (NLP) tasks, yet their performance on Arabic data, characterized by rich morphology, diverse dialects, and complex script, remains underexplored. This paper presents a comprehen

Cited by 0SourcePDFScholar
2025

SynFix: Dependency-Aware Program Repair via RelationGraph Analysis

ACL 2025finding

Recent advancements in large language models (LLMs) have significantly improved software development automation, including bug localization, code synthesis, program repair, and test generation. However, most prior work on program repair focuses on isolated elements, such as classes or functions, neg…

2024

CodeAgent: Autonomous Communicative Agents for Code Review

EMNLP 2024main

Code review, which aims at ensuring the overall quality and reliability of software, is a cornerstone of software development. Unfortunately, while crucial, Code review is a labor-intensive process that the research community is looking to automate. Existing automated methods rely on single input-ou…