Martin Weyssow

According to our database, Martin Weyssow authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?

Yikun Li, Ngoc Tan Bui, Ting Zhang, Martin Weyssow, Chengran Yang, Xin Zhou, Jinfeng Jiang, Junkai Chen, Huihui Huang, Huu Hung Nguyen, Chiok Yew Ho, Jie Tang, Ruiyin Li, Yide Yin, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, July, 2025

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks.

Xin Zhou, Kisub Kim, Ting Zhang, Martin Weyssow, Luis F. Gomes, Guang Yang, David Lo

CoRR, May, 2025

Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents.

Ratnadira Widyasari, Martin Weyssow, Ivana Clairine Irsan, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo

CoRR, May, 2025

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation.

Martin Weyssow, Chengran Yang, Junkai Chen, Yikun Li, Huihui Huang, Ratnadira Widyasari, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, April, 2025

Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead.

Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo

CoRR, April, 2025

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection.

Ting Zhang, Chengran Yang, Yindu Su, Martin Weyssow, Huu Hung Nguyen, Tan Bui, Hong Jin Kang, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, March, 2025

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks.

Xin Zhou, Martin Weyssow, Ratnadira Widyasari, Ting Zhang, Junda He, Yunbo Lyu, Jianming Chang, Beiqi Zhang, Dan Huang, David Lo

CoRR, February, 2025

Harnessing Large Language Models for Curated Code Reviews.

Oussama Ben Sghaier, Martin Weyssow, Houari A. Sahraoui

Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025

A Functional Software Reference Architecture for LLM-Integrated Systems.

Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo

Proceedings of the 22nd IEEE International Conference on Software Architecture, 2025

2024

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics.

Yikun Li, Ting Zhang, Ratnadira Widyasari, Yan Naing Tun, Huu Hung Nguyen, Tan Bui, Ivana Clairine Irsan, Yiran Cheng, Xiang Lan, Han Wei Ang, Frank Liauw, Martin Weyssow, Hong Jin Kang, Eng Lieh Ouh, Lwin Khin Shar, David Lo

CoRR, 2024

CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences.

Martin Weyssow, Aton Kamanda, Houari A. Sahraoui

CoRR, 2024

CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code.

Martin Weyssow, Claudio Di Sipio, Davide Di Ruscio, Houari A. Sahraoui

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.

Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui

CoRR, 2023

On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code.

Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

2022

Recommending metamodel concepts during modeling activities with pre-trained language models.

Martin Weyssow, Houari A. Sahraoui, Eugene Syriani

Softw. Syst. Model., 2022

AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models.

José Antonio Hernández López, Martin Weyssow, Jesús Sánchez Cuadrado, Houari A. Sahraoui

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning.

Martin Weyssow, Houari A. Sahraoui, Bang Liu

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022

2020

Opportunities in intelligent modeling assistance.

Gunter Mussbacher, Benoît Combemale, Jörg Kienzle, Silvia Abrahão, Hyacinth Ali, Nelly Bencomo, Márton Búr, Loli Burgueño, Gregor Engels, Pierre Jeanjean, Jean-Marc Jézéquel, Thomas Kühn, Sébastien Mosser, Houari A. Sahraoui, Eugene Syriani, Dániel Varró, Martin Weyssow

Softw. Syst. Model., 2020

Function completion in the time of massive data: A code embedding perspective.

Martin Weyssow, Houari A. Sahraoui, Benoît Vanderose, Benoît Frénay

CoRR, 2020

Towards an assessment grid for intelligent modeling assistance.

Gunter Mussbacher, Benoît Combemale, Silvia Abrahão, Nelly Bencomo, Loli Burgueño, Gregor Engels, Jörg Kienzle, Thomas Kühn, Sébastien Mosser, Houari A. Sahraoui, Martin Weyssow

Proceedings of the MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 2020