Electrical Engineering

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (53 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  8 Dec 2021 3 repositories listed
  Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
• Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
  28 Nov 2023 2 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  We find that prompting innovation can unlock deeper specialist capabilities and show that GPT-4 easily tops prior leading results for medical benchmarks.
• AITEE -- Agentic Tutor for Electrical Engineering
  27 May 2025 1 repository listed
  In this paper, we present AITEE, an agent-based tutoring system for electrical engineering designed to accompany students throughout their learning process, offer individualized support, and promote self-directed…
• En masse scanning and automated surfacing of small objects using Micro-CT
  9 Oct 2024 1 repository listed
  Modern archaeological methods increasingly utilize 3D virtual representations of objects, computationally intensive analyses, high resolution scanning, large datasets, and machine learning.
• S2SNet: A Pretrained Neural Network for Superconductivity Discovery
  28 Jun 2023 1 repository listed
  To the best of our knowledge, S2SNet is the first work to predict superconductivity with only information of crystal structures.
• Electrical load forecasting using hybrid of extreme gradient boosting and light gradient boosting machine
  3 Mar 2022 1 repository listed
  Ensemble learning methods have been used to improve performance accuracy through bias-variance trade-off techniques.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.