activity
20242026
most citedNeuro-Symbolic AI in 2024: A Systematic Review

18 citations · 19 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2026

MechaTerp-TRACE: A Novel Approach for Component Ablation Analysis in Language Models

Brandon Colelough, Davis Bartels, Madeline Bittner +1

Interpretability research on large language models has produced accounts of factual recall in feed-forward layers and of token relationships in self-attention, but little work offe…

cs.AI2026

6.5% of the Neuro-Symbolic Literature Can Be Reproduced from Its Published Artifacts, a Six-Stage Audit Framework and First Instantiation

Brandon Colelough, Vladimir Martirosyan, Ishan Tamrakar +6

We present a six-stage framework for auditing the reproducibility of scientific claims across a research literature within the computer science domain, and instantiate our framewor…

cs.CL2026

Quantifying Hallucinations in Language Language Models on Medical Textbooks

Brandon C. Colelough, Davis Bartels, Dina Demner-Fushman

Hallucinations, the tendency for large language models to provide responses with factually incorrect and unsupported claims, is a serious problem within natural language processing…

cs.CL2025

Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering

Brandon Colelough, Davis Bartels, Dina Demner-Fushman

In this paper, we present an overview of ClinIQLink, a shared task, collocated with the 24th BioNLP workshop at ACL 2025, designed to stress-test large language models (LLMs) on me…

cs.AI2025★ 18 cited

Neuro-Symbolic AI in 2024: A Systematic Review

Brandon C. Colelough, William Regli

Background: The field of Artificial Intelligence has undergone cyclical periods of growth and decline, known as AI summers and winters. Currently, we are in the third AI summer, ch…

cs.SD2024

Effects of Dataset Sampling Rate for Noise Cancellation through Deep Learning

Brandon Colelough, Andrew Zheng

Background: Active noise cancellation has been a subject of research for decades. Traditional techniques, like the Fast Fourier Transform, have limitations in certain scenarios. Th…

cs.CE2024

Enhanced Thermal Management in High-Temperature Applications: Design and Optimization of a Water-Cooled Forced Convection System in a Hollow Cuboid Vapour Chamber Using COMSOL and MATLAB

brandon Curtis Colelough

This report details the design and optimisation of a water-cooled forced convection heat dissipation system for use in high-temperature applications (ranges between 700 degrees - 1…

cs.AI2024

Advancing Frontiers in SLAM: A Survey of Symbolic Representation and Human-Machine Teaming in Environmental Mapping

Brandon Curtis Colelough

This survey paper presents a comprehensive overview of the latest advancements in the field of Simultaneous Localization and Mapping (SLAM) with a focus on the integration of symbo…

cs.AI2024

SymboSLAM: Semantic Map Generation in a Multi-Agent System

Brandon Curtis Colelough

Sub-symbolic artificial intelligence methods dominate the fields of environment-type classification and Simultaneous Localisation and Mapping. However, a significant area overlooke…

physics.soc-ph2024★ 1 cited

Australian Energy Market Operator National Electricity Market Network Optimal Power Flow Modelling

Brandon Curtis Colelough

The HELM algorithm was used in this project to solve the optimal power flow problem introduced by a radial PandaPower network formulated from the data given by AEMO on the NEM netw…