Memory-R2 proposes LoGo-GRPO to enable fair credit assignment for memory-augmented LLM agents across long multi-session horizons via local rerollouts and shared-parameter co-learning.
Amortized structured stochastic variational inference couples GP inducing points with latent variables in GPLVMs, improving manifold reconstruction and uncertainty estimation.
OperatorSHAP trains grid-agnostic amortized Shapley explainers for neural operators, yielding resolution-consistent attributions that transfer across grids without retraining.
BitResEdit guides bitwise-residual VAR generators via bit-level source-negative guidance and masked multi-scale residual code injection for localized edits with preserved backgrounds.