11 papers
AgentDevel: Reframing Self-Evolving LLM Agents as Release Engineering
Di Zhang
Recent progress in large language model (LLM) agents has largely focused on embedding self-improvement mechanisms inside the agent or searching over many concurrent variants. While…
Multi-AI Agent Framework Reveals the "Oxide Gatekeeper" in Aluminum Nanoparticle Oxidation
Yiming Lu, Tingyu Lu, Di Zhang +2
Aluminum nanoparticles (ANPs) are among the most energy-dense solid fuels, yet the atomic mechanisms governing their transition from passivated particles to explosive reactants rem…
Fast Bayesian Updates via Harmonic Representations
Di Zhang
Bayesian inference, while foundational to probabilistic reasoning, is often hampered by the computational intractability of posterior distributions, particularly through the challe…
Learning Geometry: A Framework for Building Adaptive Manifold Models through Metric Optimization
Di Zhang
This paper proposes a novel paradigm for machine learning that moves beyond traditional parameter optimization. Unlike conventional approaches that search for optimal parameters wi…
The Neural Differential Manifold: An Architecture with Explicit Geometric Structure
Di Zhang
This paper introduces the Neural Differential Manifold (NDM), a novel neural network architecture that explicitly incorporates geometric structure into its fundamental design. Depa…
Communication-Efficient and Memory-Aware Parallel Bootstrapping using MPI
Di Zhang
Bootstrapping is a powerful statistical resampling technique for estimating the sampling distribution of an estimator. However, its computational cost becomes prohibitive for large…