A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals. - Andrew Kiruluta; Andreas Lemos; Priscilla Burity (CoRR, 2025)

Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention. - Andrew Kiruluta; Priscilla Burity; Samantha Williams (CoRR, 2025)

Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition. - Andrew Kiruluta; Eric Lundy; Priscilla Burity (CoRR, 2025)

Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons. - Andrew Kiruluta; Preethi Raju; Priscilla Burity (CoRR, 2025)

History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM. - Andrew Kiruluta; Andreas Lemos; Priscilla Burity (CoRR, 2025)

From Pixels and Words to Waves: A Unified Framework for Spectral Dictionary vLLMs. - Andrew Kiruluta; Priscilla Burity (CoRR, 2025)

CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning. - Andrew Kiruluta; Preethi Raju; Priscilla Burity (CoRR, 2025)

Operator-Based Machine Intelligence: A Hilbert Space Framework for Spectral Learning and Symbolic Reasoning. - Andrew Kiruluta; Andreas Lemos; Priscilla Burity (CoRR, 2025)

Beyond Neural Networks: Symbolic Reasoning over Wavelet Logic Graph Signals. - Andrew Kiruluta; Andreas Lemos; Priscilla Burity (CoRR, 2025)