5 papers · 1 filter
Dead Weights, Live Signals: Feedforward Graphs of Frozen Language Models
Marcus Armstrong, Navid Ayoobi, Arjun Mukherjee
We present a feedforward graph architecture in which heterogeneous frozen large language models serve as computational nodes, communicating through a shared continuous latent space…
Thinking in Different Spaces: Domain-Specific Latent Geometry Survives Cross-Architecture Translation
Marcus Armstrong, Navid Ayoobi, Arjun Mukherjee
We investigate whether independently trained language models converge to geometrically compatible latent representations, and whether this compatibility can be exploited to correct…
The Erosion of LLM Signatures: Can We Still Distinguish Human and LLM-Generated Scientific Ideas After Iterative Paraphrasing?
Sadat Shahriar, Navid Ayoobi, Arjun Mukherjee
With the increasing reliance on LLMs as research agents, distinguishing between LLM and human-generated ideas has become crucial for understanding the cognitive nuances of LLMs' re…
CNN Autoencoder Resizer: A Power-Efficient LoS/NLoS Detector in MIMO-enabled UAV Networks
Azim Akhtarshenas, Navid Ayoobi, David Lopez-Perez +2
Optimizing the design, performance, and resource efficiency of wireless networks (WNs) necessitates the ability to discern Line of Sight (LoS) and Non-Line of Sight (NLoS) scenario…
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas, Mohammad Ali Vahedifar, Navid Ayoobi +4
Robust machine learning (ML) models can be developed by leveraging large volumes of data and distributing the computational tasks across numerous devices or servers. Federated lear…