3 papers
cs.CL2026
MMLA-RSI: Recursive Self-Improvement through RTT and RTMA
Junyi Zou, Avrova Donz
An agent can improve its behavior within an unresolved problem by changing how it acts and which experience it retains. We propose MMLA-RSI, a recursive self-improvement scheme wit…
cs.LG2026
LARC: Low-Rank Adaptive Residual Connections for Learning in Frozen Models
Junyi Zou, Avrova Donz
Low-Rank Adaptive Residual Connections (LARC) give a frozen model a compact numerical state that can learn from feedback. The map adds a low-rank correction to a hidden rep…
cs.CL2026
MMLA: Memory-Mediated Learning Architecture for Predictive Dual-State Adaptation
Junyi Zou, Avrova Donz
Memory-Mediated Learning Architecture (MMLA) separates slow base parameters theta, a bounded numerical policy carrier Phi, and a bounded authoritative memory M. Predictive Dual-Sta…