2 papers
cs.LG2026
A Mechanistic Analysis of Looped Reasoning Language Models
Hugh Blayney, Ãlvaro Arroyo, Johan Obando-Ceron +4
Reasoning has become a central capability in large language models. Recent research has shown that reasoning performance can be improved by looping an LLM's layers in the latent di…
cs.LG2025
gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity
Hugh Blayney, Ãlvaro Arroyo, Xiaowen Dong +1
Graph Neural Networks (GNNs) leverage the graph structure to transmit information between nodes, typically through the message-passing mechanism. While these models have found a wi…