Just-in-Time Security Patch Detection -- LLM At the Rescue for Data Augmentation

no code implementations • 2 Dec 2023 • Xunzhu Tang, Zhenghan Chen, Kisub Kim, Haoye Tian, Saad Ezzini, Jacques Klein

To address this pressing issue, we introduce a novel security patch detection system, LLMDA, which capitalizes on Large Language Models (LLMs) and code-text alignment methodologies for patch review, data enhancement, and feature combination.

Contrastive Learning Data Augmentation

Letz Translate: Low-Resource Machine Translation for Luxembourgish

no code implementations • 2 Mar 2023 • Yewei Song, Saad Ezzini, Jacques Klein, Tegawende Bissyande, Clément Lefebvre, Anne Goujon

We also make use of high-resource languages that are related or share the same linguistic root as the target LRL.

Knowledge Distillation Machine Translation +1

TAPHSIR: Towards AnaPHoric Ambiguity Detection and ReSolution In Requirements

no code implementations • 21 Jun 2022 • Saad Ezzini, Sallam Abualhaija, Chetan Arora, Mehrdad Sabetzadeh

We introduce TAPHSIR, a tool for anaphoric ambiguity detection and anaphora resolution in requirements.

Language Modelling