96 citations · 96 across the 2 of their papers we have counts for
5 papers
A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out
Mahdi Naser Moghadasi, Faezeh Ghaderi
Time-series foundation models are evaluated almost exclusively on public archives that predate them, so a strong score cannot be separated from having seen the test set during pret…
What Twelve LLM Agent Benchmark Papers Disclose About Themselves: A Pilot Audit and an Open Scoring Schema
Mahdi Naser Moghadasi, Faezeh Ghaderi
We read twelve well-known LLM agent benchmark papers and recorded, dimension by dimension, what each paper actually says about how its evaluation was run. The motivation came from…
Neural Activation Patterns Across Language Model Architectures: A Comprehensive Analysis of Cognitive Task Performance
Mahdi Naser-Moghadasi, Faezeh Ghaderi
This paper presents a comprehensive analysis of neural activation patterns across six distinct large language model (LLM) architectures, examining their performance on twelve cogni…
Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models
Mahdi Naser Moghadasi, Faezeh Ghaderi
Despite the remarkable success of transformer architectures in natural language processing, their scalability limitations remain poorly understood through systematic empirical anal…
Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting
Amir Ghaderi, Borhan M. Sanandaji, Faezeh Ghaderi
The paper presents a spatio-temporal wind speed forecasting algorithm using Deep Learning (DL)and in particular, Recurrent Neural Networks(RNNs). Motivated by recent advances in re…