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2020 – today
- 2024
[c5]Martin Weyssow
, Claudio Di Sipio, Davide Di Ruscio, Houari A. Sahraoui:
CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code. MSR 2024: 637-641- [i9]Martin Weyssow, Aton Kamanda, Houari A. Sahraoui:
CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences. CoRR abs/2403.09032 (2024) - [i8]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:
CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics. CoRR abs/2411.17274 (2024) - 2023
- [c4]Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui:
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. ESEC/SIGSOFT FSE 2023: 1470-1482 - [i7]Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui:
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code. CoRR abs/2305.04106 (2023) - [i6]Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, Houari A. Sahraoui:
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models. CoRR abs/2308.10462 (2023) - [i5]Martin Weyssow, Claudio Di Sipio, Davide Di Ruscio, Houari A. Sahraoui:
CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code. CoRR abs/2312.12492 (2023) - 2022
- [j2]Martin Weyssow, Houari A. Sahraoui, Eugene Syriani:
Recommending metamodel concepts during modeling activities with pre-trained language models. Softw. Syst. Model. 21(3): 1071-1089 (2022) - [c3]Martin Weyssow, Houari A. Sahraoui, Bang Liu:
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning. ICSE (NIER) 2022: 21-25 - [c2]José Antonio Hernández López, Martin Weyssow, Jesús Sánchez Cuadrado, Houari A. Sahraoui:
AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models. ASE 2022: 11:1-11:11 - [i4]Martin Weyssow, Houari A. Sahraoui, Bang Liu:
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning. CoRR abs/2201.03346 (2022) - [i3]José Antonio Hernández López, Martin Weyssow, Jesús Sánchez Cuadrado, Houari A. Sahraoui:
AST-Probe: Recovering abstract syntax trees from hidden representations of pre-trained language models. CoRR abs/2206.11719 (2022) - 2021
- [i2]Martin Weyssow, Houari A. Sahraoui, Eugene Syriani:
Recommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models. CoRR abs/2104.01642 (2021) - 2020
- [j1]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:
Opportunities in intelligent modeling assistance. Softw. Syst. Model. 19(5): 1045-1053 (2020) - [c1]Gunter Mussbacher, Benoît Combemale, Silvia Abrahão, Nelly Bencomo, Loli Burgueño, Gregor Engels, Jörg Kienzle, Thomas Kühn, Sébastien Mosser, Houari A. Sahraoui, Martin Weyssow:
Towards an assessment grid for intelligent modeling assistance. MoDELS (Companion) 2020: 48:1-48:10 - [i1]Martin Weyssow, Houari A. Sahraoui, Benoît Vanderose, Benoît Frénay:
Function completion in the time of massive data: A code embedding perspective. CoRR abs/2008.03731 (2020)
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