菜单
这个仓库中的 skills
SkillsMP 已收集 hiyenwong/ai_collection 中的 4,114 个 Skill。打开任一 Skill 可查看来源和详情。
hiyenwong/ai_collection已展示 40 / 4,114 个已收集 Skill。
Proactive memory agent that runs alongside an unmodified action agent to prevent behavioral state decay in long-horizon tasks. Updates structured memory bank from trajectory and selectively injects reminders. Plug-and-play with frontier agents. +8.3pp on…
原文语言：英语
Studies quantile-based distributional RL from statistical efficiency perspective. Non-asymptotic error bound O(√(m/n)) under W∞ metric. Achieves optimal √n convergence rate. Asymptotic distribution and semiparametric efficiency bound. Berry-Esseen theorem.…
原文语言：英语
Codebook-free binary spherical coding for extreme low-bit LLM weight compression. Maps weight chunks onto unit hypersphere and binarizes into sign streams. Residual BSQ stage for reconstruction error. Category-wise recovery distillation. Activation: binary…
原文语言：英语
Procrustes-conditioned Joint End-to-end Top-K SAE for extracting cross-seed universal features from independently trained BERT models. Combines Top-K sparsity, end-to-end optimization, and dead-feature revival. Pearson r ≥ 0.70 across seeds. Activation:…
原文语言：英语
Hierarchical structure-aware document analysis system using LLMs. Parses documents into hierarchical trees preserving layouts, builds structure-aware semantic indices for filtering and question answering. Handles academic papers, technical manuals, financial…
原文语言：英语
Training-free best-first draft tree for speculative decoding using Domino's conditional non-factorized correction. Achieves up to 6.6x speedup on Qwen3-4B and highest mean accept length (10.7 tokens/round). GPU-native CUDA-graph builder for efficient tree…
原文语言：英语
Shows that post-training quantization evaluation via accuracy/perplexity fails to capture behavioral changes. Introduces correctness agreement metric. Reveals non-linear breakpoints at low bit-widths. Query/key projections more sensitive than value/output.…
原文语言：英语
MAESTRO: Markov-chain Approximated Expert Sparsification via Transition-based Routing for MoE structured pruning. Models expert activation as Ergodic Markov chains for globally-aware importance. Outperforms baselines by 10.61% at 50% compression. Lower…
原文语言：英语
Balanced session-centric LLM scheduling for agent serving workloads. Routes first request in each session for load balance and follow-ups cache-aware. 10-16% TPS improvement. Leverages intra-session locality and 80%+ KV-reuse in agent traces. Activation: LLM…
原文语言：英语
Shows that Super Weight pruning degradation doesn't universally apply. Training Super Weights in isolation drops accuracy to random-guessing. Parameter importance ≠ trainability. Vanilla LoRA with 0.16% parameters succeeds. Activation: super weights, LLM…
原文语言：英语
Practical investigation of training-free relaxed speculative decoding for LLM inference acceleration. Unifies existing approaches within a shared framework, benchmarks on contemporary settings. Relaxed speculation trades lossless guarantees for speed-ups and…
原文语言：英语
gspDAG-FL: secure decentralized federated learning via gossip and virtual voting. Derives consensus from gossip history, uses Hashgraph-style virtual voting on compact DAG. Byzantine resilience with payload validation and semantic audit. Activation:…
原文语言：英语
FabriVLA: lightweight VLA model combining InternVL3.5 VLM backbone with flow-matching action head. Gated self-attention across action tokens, shallow VLM layer fusion. 90.0% success on Meta-World MT50. 1B-scale VLM without billion-parameter backbone.…
原文语言：英语
LingBot-VA 2.0: video-action foundation model built from the ground up for robot embodiment. Semantic visual-action tokenizer, causal pretraining from scratch, sparse MoE backbone, asynchronous inference for real-time closed-loop control. Few-shot…
原文语言：英语
Methodology for studying magnetic field effects on chimera states in Hindmarsh-Rose neuronal networks. Covers traveling chimera, multicluster chimera, and multicluster chimera breather transformations under spatial magnetic field applications.
原文语言：英语
Non-Hermitian Potential Well Formalism for Conscious-Preconscious-Subliminal Processing methodology. Models the Global Neuronal Workspace (GNW) as a complex-valued landscape where sensory encoding and conscious access are unified. Activation: non-Hermitian…
原文语言：英语
Dendritic In-Context Learning (DendriCL) — single-layer compartmental SNN that achieves ICL via dendritic subthreshold dynamics implementing online LMS. Use when: designing SNN architectures for in-context learning, exploring biologically-plausible ICL…
原文语言：英语
DRIADA: Open-source Python toolkit for cross-scale analysis of single-neuron selectivity and population dynamics. Unifies neural signals and behavior in shared data model for selectivity testing, dimensionality reduction, and network analysis. Activation:…
原文语言：英语
Non-Hermitian Potential Well Formalism for modeling conscious-preconscious-subliminal processing hierarchy. Uses nonlinear Schrödinger-type equations in imaginary time with non-Hermitian Hamiltonians to unify sensory encoding and conscious access.
原文语言：英语
arXiv paper search skill - search academic papers by keywords, authors, categories. Supports time filtering, category filtering, and paper detail retrieval. Activation: arxiv search, paper search, 论文搜索, search papers, arxiv 论文.
原文语言：英语
TRIBE v2 数据增强提升脑到图像解码性能方法论。使用大规模预训练编码模型生成合成fMRI数据，在小数据集上实现显著性能提升。
原文语言：英语
DendriCL methodology for dendritic in-context learning in single-layer spiking neural networks. Demonstrates that a single dendritic compartment with online-LMS dynamics implements complete in-context learning, eliminating the need for attention, depth, or…
原文语言：英语
Doob-Barrier-Conditioned Diffusion methodology that turns analog neuromorphic device noise into a continual-learning resource. Casts per-synapse consolidation as a Doob h-transform, creating a noise-amplified restoring force that consolidates memories —…
原文语言：英语
Non-Hermitian potential well formalism for the subliminal-preconscious-conscious processing hierarchy in the Global Neuronal Workspace. Uses nonlinear Schrödinger-type equation in imaginary time with non-Hermitian, non-normal Hamiltonian to model conscious…
原文语言：英语
Optimal control-based strategy for enhancing impulse estimation in Gaussian quantum systems via parametric modulation. Use when designing quantum sensing protocols, estimating transient disturbances in quantum systems, optimizing state preparation for impulse…
原文语言：英语
Framework for designing magnetic-field-free quantum reservoir computing systems using engineered organic materials. Bridges quantum computing and neuroscience through the 3-layer quantum brain hypothesis. Use when: designing organic qubit systems, quantum…
原文语言：英语
Penalty-free QAOA methodology for lattice protein folding using conflict graph independent set formulation. Use when: (1) quantum optimization for protein folding or molecular structure prediction, (2) QAOA without penalty terms, (3) conflict graph maximum…
原文语言：英语
Penalty-free quantum optimization methodology for lattice protein folding using QAOA and quantum annealing. Avoids constraint penalty terms that cause energy landscape distortion. Maps protein conformations to binary optimization without penalty parameters.…
原文语言：英语
Pre-asymptotic trainability analysis for photonic variational quantum circuits under postselection. Covers barren plateau dynamics in passive linear-optical circuits, Lie algebra dimension scaling, postselection-induced gradient concentration (allow-bunching,…
原文语言：英语
Q-ANCHOR architecture for Quantum Federated Learning (QFL) that addresses double-drift phenomenon (client drift from non-IID data + hardware bias from noisy quantum gradients). Uses ZNE-guided server anchoring and stateful client correction. Proves…
原文语言：英语
Unsupervised clustering via steady-state quantum transport in open quantum networks (GKSL master equation). Encodes data as input states and infers cluster assignments from terminal current observables - no full state tomography required. Use when: quantum…
原文语言：英语
Quantum Machine Learning with Equilibrium Propagation for medical image analysis. Energy-based training without backpropagation using Variational Quantum Circuits (VQCs) for resource-constrained quantum hardware. Use when: analyzing blood cells, leukemia…
原文语言：英语
Design framework-agnostic quantum machine learning (QML) systems using the Model-Agnostic Learning System (MALS) paradigm. Extracts QML models from any framework (PennyLane, Qiskit, TensorFlow Quantum, etc.) into portable representations with auto-validation…
原文语言：英语
Quantum Machine Learning model testing and robustness analysis methodology. Covers mutation testing for QNN circuits, accuracy/robustness evaluation of Variational Quantum Circuits (VQCs), and practical considerations for deploying QML models on NISQ-era…
原文语言：英语
Quantum-enhanced AI reliability patterns from cutting-edge research. Covers certified training of quantum neural networks, quantum interval bound propagation (QIBP), genetic algorithm-based HQNN optimization (GAT-QNN), distributed quantum reinforcement…
原文语言：英语
Quantum compiler qubit mapping and routing methodology for scalable quantum circuit compilation. Covers position graph abstraction, heuristic mapper optimization (SABRE), memoized congestion resolution, and architecture-aware compilation for heterogeneous…
原文语言：英语
Engineering patterns for reliable, efficient quantum control systems. Covers pulse-level gate optimization, real-time closed-loop QEC, dynamic decoder scheduling, physics-informed LLM control, and thermodynamic control optimization. Use when designing quantum…
原文语言：英语
Quantum Erasure Imaging (QEI) methodology — turns delayed-choice quantum erasure into practical dual-modality imaging protocol. Simultaneously reconstructs absorption T(x,y) and phase-sensitive quadrature from a single entangled photon run. Use when: quantum…
原文语言：英语
Evaluate quantum error-correcting codes under hardware-motivated and biased noise models. Benchmark fault-tolerant quantum computing primitives via noisy stabilizer simulation. Use when: (1) evaluating QEC code performance, (2) designing fault-tolerant…
原文语言：英语
Circuit-level backdoor detection methodology for Quantum Federated Learning (QFL) systems. Identifies malicious circuit patterns in variational quantum circuits during federated training. Use when: (1) securing QFL systems, (2) detecting quantum circuit…
原文语言：英语