RESOURCES
SCIENTIFIC PUBLICATIONS
Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity
By Lorenzo de Tomasi, Claudio di Sipio, Antinisca di Marco and Phuong T.Nguyen
Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy?
By Motunrayo Osatohanmen Ibiyo, Thinakone Louangdy, Phuong T. Nguyen, Claudio Di Sipio, and Davide Di Ruscio
Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations (Best Paper Award)
By Hoang Minh Vuong, Anh M. T. Bui, Phuong T. Nguyen, and Davide Di Ruscio
Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization
By Duc S. H. Nguyen, Bach G. Truong, Phuong T. Nguyen, Juri Di Rocco, and Davide Di Ruscio
When Retriever Meets Generator: A Joint Model for Code Comment Generation
By Tien P. T. Le, Anh M. T. Bui , Huy N. D. Pham, Alessio Bucaioni and Phuong T. Nguyen
Binary and multi-class classification of Self-Admitted Technical Debt: How far can we go?
By Francesca Arcelli Fontana,, Juri Di Rocco, Davide Di Ruscio, Amleto Di Salle and Phuong T. Nguyen
Towards sustainability model cards
By Jordi Cabot and Gwendal Jouneaux
Generate with CodeXHug: A Dataset to Enhance Model Cards with Code Usage Patterns
By Stefano Palombo, Claudio Di Sipio, Juri Di Rocco and Davide Di Ruscio
Automated summarization of software documents: an LLM-based multi-agent approach
By Duc S. H. Nguyen, Minh T. Nguyen, Phuong T. Nguyen, Juri Di Rocco and Davide Di Ruscio
Larger Is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
By Phong Nguyen, Anh M. T. Bui, and Phuong T. Nguyen
Many Hands Make Light Work: An LLM-based Multi-Agent System for Detecting Malicious PyPI ages
By Muhammad Umar Zeshan, Motunrayo Ibiyo, Claudio Di Sipio, Phuong T. Nguyen and Davide Di Ruscio
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