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Martin Weyssow
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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 - [i8]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) - 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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last updated on 2024-07-20 21:19 CEST by the dblp team
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