3 papers
cs.LG2025
Rank-1 LoRAs Encode Interpretable Reasoning Signals
Jake Ward, Paul Riechers, Adam Shai
Reasoning models leverage inference-time compute to significantly enhance the performance of language models on difficult logical tasks, and have become a dominating paradigm in fr…
q-bio.NC2025
Latent computing by biological neural networks: A dynamical systems framework
Fatih Dinc, Marta Blanco-Pozo, David Klindt +8
Although individual neurons and neural populations exhibit the phenomenon of representational drift, perceptual and behavioral outputs of many neural circuits can remain stable acr…
q-bio.NC2025
Understanding and controlling the geometry of memory organization in RNNs
Udith Haputhanthri, Liam Storan, Yiqi Jiang +7
Training recurrent neural networks (RNNs) is a high-dimensional process that requires updating numerous parameters. Therefore, it is often difficult to pinpoint the underlying lear…