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This program is tentative and subject to change.

Thu 1 May 2025 12:00 - 12:15 at 211 - AI for Design and Architecture

Vendors participating in tenders face significant challenges in creating timely and accurate order quotations from Request for Order (RFQ) documents. The success of their bids is heavily dependent on the speed and precision of these quotations. A key bottleneck in this process is the time-consuming task of identifying relevant products from the product catalogue that align with the RFQ descriptions. We propose the implementation of an automatic classification system that utilizes a context-aware language model specifically designed for the electrical engineering domain. Our approach aims to streamline the identification of relevant products, thereby enhancing the efficiency and accuracy of the quotation process. However, an effective solution must be scalable and easily adjustable. Thus, we present a machine learning operations (MLOps) architecture that facilitates automated training and deployment. We pay particular attention to automated pipelines, which are essential for the operation of a maintainable ML solution. Furthermore, we outline best practices for creating production-ready pipelines and encapsulating data science efforts. Schneider Electric currently operates the solution presented in this paper.

This program is tentative and subject to change.

Thu 1 May

Displayed time zone: Eastern Time (US & Canada) change

11:00 - 12:30
AI for Design and ArchitectureDemonstrations / SE In Practice (SEIP) / Research Track at 211
11:00
15m
Talk
An LLM-Based Agent-Oriented Approach for Automated Code Design Issue Localization
Research Track
Fraol Batole Tulane University, David OBrien Iowa State University, Tien N. Nguyen University of Texas at Dallas, Robert Dyer University of Nebraska-Lincoln, Hridesh Rajan Tulane University
11:15
15m
Talk
Distilled Lifelong Self-Adaptation for Configurable Systems
Research Track
Yulong Ye University of Birmingham, Tao Chen University of Birmingham, Miqing Li University of Birmingham
11:30
15m
Talk
The Software Librarian: Python Package Insights for Copilot
Demonstrations
Jasmine Latendresse Concordia University, Nawres Day ISSAT Sousse, SayedHassan Khatoonabadi Concordia University, Emad Shihab Concordia University
11:45
15m
Talk
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
SE In Practice (SEIP)
Siyuan Jiang , Jia Li Peking University, He Zong aiXcoder, Huanyu Liu Peking University, Hao Zhu Peking University, Shukai Hu aiXcoder, Erlu Li aiXcoder, Jiazheng Ding aiXcoder, Ge Li Peking University
Pre-print
12:00
15m
Talk
Leveraging MLOps: Developing a Sequential Classification System for RFQ Documents in Electrical Engineering
SE In Practice (SEIP)
Claudio Martens Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Hammam Abdelwahab Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Katharina Beckh Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Birgit Kirsch Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Vishwani Gupta Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Dennis Wegener Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Steffen Hoh Schneider Electric
12:15
15m
Talk
On Mitigating Code LLM Hallucinations with API Documentation
SE In Practice (SEIP)
Nihal Jain Amazon Web Services, Robert Kwiatkowski , Baishakhi Ray Columbia University, New York;, Murali Krishna Ramanathan AWS AI Labs, Varun Kumar AWS AI Labs
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