From the 2 of 6 linked papers with an AI index.
6 papers
GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis
Alban Puech, Matteo Mazzonelli, Tamara R. Govindasamy +19
Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from engineering domains such as power system analysis, where strict…
Stage-Level Executor Allocation in Apache Spark with Cost-Performance Trade-offs
Miriam Rateike, Isaac Waweru Wambugu, Celia Cintas +3
The paper introduces a stage‑level executor allocation method for serverless Apache Spark that uses tree‑ensemble models to predict runtime and cost, letting users specify cost‑per…
Retrieval with Multiple Query Vectors through Anomalous Pattern Detection
Allassan Tchangmena A Nken, Baimam Boukar Jean Jacques, Miriam Rateike +2
The paper introduces a retrieval method that simultaneously uses multiple query embedding vectors and detects anomalous dimensions among them to find similarly anomalous vectors in…
gridfm-datakit-v1: A Python Library for Scalable and Realistic Power Flow and Optimal Power Flow Data Generation
Alban Puech, Matteo Mazzonelli, Celia Cintas +11
We introduce gridfm-datakit-v1, a Python library for generating realistic and diverse Power Flow (PF) and Optimal Power Flow (OPF) datasets for training Machine Learning (ML) solve…
Localizing Persona Representations in LLMs
Celia Cintas, Miriam Rateike, Erik Miehling +2
We present a study on how and where personas -- defined by distinct sets of human characteristics, values, and beliefs -- are encoded in the representation space of large language…
Enabling Precise Topic Alignment in Large Language Models Via Sparse Autoencoders
Ananya Joshi, Celia Cintas, Skyler Speakman
Recent work shows that Sparse Autoencoders (SAE) applied to large language model (LLM) layers have neurons corresponding to interpretable concepts. These SAE neurons can be modifie…