…Shadow Network for Parameter-Efficient Fine-Tuning (2026) EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering (2026) Beyond Pairs: Your Language Model is Secretly Optimizing a Preference Graph (2026…
…Our central hypothesis is that a network of adaptive truth signals can achieve autopoietic coherence—maintaining and propagating verified facts without centralized oversight. We will define formal metrics for propagation depth, resistance…
…GQKAE replaces the parameter-heavy feed-forward network components in GPT-style generative eigensolvers with hybrid quantum-inspired Kolmogorov-Arnold network modules , forming a compact HQKANsformer backbone. The method preserves autoregressive operator…
…AI-generated summary Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint positions and an analytical inverse-kinematics (IK…
…We demonstrate that this formulation not only leads to a 40x training speedup compared with the per-shape optimization of neural fields , but also achieves lower simulation error when evaluated against the…
…While momentum-based optimizers provide a natural remedy, they pose challenges in simultaneously achieving training efficiency and effectiveness. To address this, we develop a chunkwise parallel algorithm for LA with a stepwise…
…We introduce GrepSeek , an optimized direct corpus interaction (DCI) search agent that trains a compact search agent to find, filter, and compose evidence from large text corpora. To address the instability of…
…View arXiv page View PDF Project page GitHub 0 Add to collection Community We propose CPCANet, which unrolls CPCA into a differentiable network to learn a structured domain-invariant subspace for domain…
…ESamp is motivated by the well-known observation that neural networks tend to make lower-error predictions on inputs similar to those encountered before, and incur higher prediction error on novel ones…
…A Fast Parallel Transform-based Codec for Efficient Asymmetric Signal Compression (2026) Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression (2026) CoD-Lite: Real-Time Diffusion-Based Generative Image…