| 2025 | LoCoML: A Framework for Real-World ML Inference Pipelines. | Kritin Maddireddy, Santhosh Kotekal Methukula, Chandrasekar Sridhar, Karthik Vaidhyanathan |
| 2025 | SqPal - Text to SQL GenAI Tool for PayPal. | Dan Liyanage, Mahshid Moha, Sandy Suresh |
| 2025 | DDPT: Diffusion-Driven Prompt Tuning for Large Language Model Code Generation. | Jinyang Li, Sangwon Hyun, M. Ali Babar |
| 2025 | Systematic Testing of Security-Related Vulnerabilities in LLM-Based Applications. | Hasan Kaplan |
| 2025 | Finding Trojan Triggers in Code LLMs: An Occlusion-Based Human-in-the-Loop Approach. | Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Mohammad Amin Alipour, Bowen Xu, Stephen Huang |
| 2025 | Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study). | Boyue Caroline Hu, Divya Gopinath, Corina S. Pasareanu, Nina Narodytska, Ravi Mangal, Susmit Jha |
| 2025 | From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems. | Yining Hong, Christopher Steven Timperley, Christian Kstner |
| 2025 | A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems. | Renato Cordeiro Ferreira |
| 2025 | InsightAI: Root Cause Analysis in Large Log Files with Private Data Using Large Language Model. | Maryam Ekhlasi, Anurag Prakash, Maxime Lamothe, Michel R. Dagenais |
| 2025 | Designing and Implementing LLM Guardrails Components in Production Environments. | Mateus Devino, Evaline Ju, Paulo Marques Caldeira Junior |
| 2025 | Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems. | Katherine R. Dearstyne, Pedro Alarcon Granadeno, Theodore Chambers, Jane Cleland-Huang |
| 2025 | Identification and Optimization of Redundant Code Using Large Language Models. | Shamse Tasnim Cynthia |
| 2025 | Designing ML-Enabled Software Systems with ML Model Composition: A Green AI Perspective. | Rumbidzai Chitakunye |
| 2025 | An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software. | Hamed Barzamini, Fatemeh Nazaritiji, Annalise Brockmann, Hasan Ferdowsi, Mona Rahimi |
| 2025 | Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering. | Marvin Muoz Barn |
| 2025 | CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems. | Aidin Azamnouri |
| 2025 | Task Decomposition and RAG as Design Patterns for LLM-Based Systems. | Orlando Marquez Ayala |
| 2025 | Towards a Domain-Specific Modeling Language for Streamlined Change Management in AI Systems Development. | Razan Abualsaud |
| 2025 | Safeguarding LLM-Applications: Specify or Train? | Hala Abdelkader, Mohamed Almorsy Abdelrazek, Sankhya Singh, Irini Logothetis, Priya Rani, Rajesh Vasa, Jean-Guy Schneider |
| 2024 | Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective. | Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu |
| 2024 | The Impact of Knowledge Distillation on the Energy Consumption and Runtime Efficiency of NLP Models. | Ye Yuan, Jiacheng Shi, Zongyao Zhang, Kaiwei Chen, Jingzhi Zhang, Vincenzo Stoico, Ivano Malavolta |
| 2024 | Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability. | Boming Xia, Qinghua Lu, Liming Zhu, Sung Une Lee, Yue Liu, Zhenchang Xing |
| 2024 | An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective. | Jie JW Wu |
| 2024 | Approach for Argumenting Safety on Basis of an Operational Design Domain. | Gereon Weiss, Marc Zeller, Hannes Schoenhaar, Christian Drabek, Andreas Kreutz |
| 2024 | AI Security Continuum: Concept and Challenges. | Hironori Washizaki, Nobukazu Yoshioka |