Towards an assessment grid for intelligent modeling assistance. - Gunter Mussbacher; Benoît Combemale; Silvia Abrahão; Nelly Bencomo; Loli Burgueño; Gregor Engels; Jörg Kienzle; Thomas Kühn 001; Sébastien Mosser 001; Houari A. Sahraoui; Martin Weyssow (MoDELS (Companion), 2020)

Function completion in the time of massive data: A code embedding perspective. - Martin Weyssow; Houari A. Sahraoui; Benoît Vanderose; Benoît Frénay (CoRR, 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 001; et al. (Softw. Syst. Model., 2020)

Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning. - Martin Weyssow; Houari A. Sahraoui; Bang Liu (ICSE (NIER), 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 (ASE, 2022)

Recommending metamodel concepts during modeling activities with pre-trained language models. - Martin Weyssow; Houari A. Sahraoui; Eugene Syriani (Softw. Syst. Model., 2022)

On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. - Martin Weyssow; Xin Zhou 014; Kisub Kim; David Lo 001; Houari A. Sahraoui (ESEC/SIGSOFT FSE, 2023)

Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. - Martin Weyssow; Xin Zhou 014; Kisub Kim; David Lo 001; Houari A. Sahraoui (CoRR, 2023)

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 (MSR, 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)

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics. - Yikun Li; Ting Zhang 011; Ratnadira Widyasari; Yan Naing Tun; Huu Hung Nguyen; Tan Bui; Ivana Clairine Irsan; Yiran Cheng; Xiang Lan; Han Wei Ang; Frank Liauw; Martin Weyssow; et al. (CoRR, 2024)

A Functional Software Reference Architecture for LLM-Integrated Systems. - Alessio Bucaioni; Martin Weyssow; Junda He; Yunbo Lyu; David Lo 001 (ICSA Companion, 2025)

Harnessing Large Language Models for Curated Code Reviews. - Oussama Ben Sghaier; Martin Weyssow; Houari A. Sahraoui (MSR, 2025)

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks. - Xin Zhou 014; Martin Weyssow; Ratnadira Widyasari; Ting Zhang 011; Junda He; Yunbo Lyu; Jianming Chang; Beiqi Zhang; Dan Huang; David Lo 001 (CoRR, 2025)

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection. - Ting Zhang 011; Chengran Yang; Yindu Su; Martin Weyssow; Huu Hung Nguyen; Tan Bui; Hong Jin Kang; Yikun Li; Eng Lieh Ouh; Lwin Khin Shar; David Lo 001 (CoRR, 2025)

Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead. - Alessio Bucaioni; Martin Weyssow; Junda He; Yunbo Lyu; David Lo 001 (CoRR, 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 001 (CoRR, 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 001 (CoRR, 2025)

An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks. - Xin Zhou 014; Kisub Kim; Ting Zhang 011; Martin Weyssow; Luis F. Gomes; Guang Yang 019; David Lo 001 (CoRR, 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 011; Martin Weyssow; Chengran Yang; Xin Zhou 014; Jinfeng Jiang; Junkai Chen; Huihui Huang; Huu Hung Nguyen; Chiok Yew Ho; Jie Tang 001; et al. (CoRR, 2025)