Skill derived from arXiv:2607.17575 - A Dual-Hypothesis Reasoning Framework for LLM Guardrails
Quellsprache: Englisch
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hiyenwong/ai_collectionEs werden 40 von 4.114 gesammelten Skills angezeigt.
Skill derived from arXiv:2607.17575 - A Dual-Hypothesis Reasoning Framework for LLM Guardrails
Quellsprache: Englisch
Skill derived from arXiv:2607.17979 - Harness Engineering for LLM-Driven GPU Kernel Generation
Quellsprache: Englisch
Skill derived from arXiv:2607.18081 - SelectInfer: Selective Neuron Loading and Computation for On-Device LLMs
Quellsprache: Englisch
Skill derived from arXiv:2607.17890 - Stress Testing Concept Erasure with Large Language Model Agents
Quellsprache: Englisch
Skill derived from arXiv:2607.16900 - Environment-free Synthetic Data Generation for API-Calling Agents
Quellsprache: Englisch
Skill derived from arXiv:2607.17531 - Oracle Gap and Signal Fidelity: A Fixed-Pool Diagnostic for Test-Time Collaboration
Quellsprache: Englisch
Skill derived from arXiv:2607.17598 - Is Progressive Disclosure All You Need for Long-Context Agents?
Quellsprache: Englisch
Skill derived from arXiv:2607.16972 - Training Continuous Chain of Thought Models: A Tale of Two Regimes
Quellsprache: Englisch
Quantum LSTM and Quantum Reservoir Computing for financial time series forecasting - hybrid quantum-classical architectures for market prediction.
Quellsprache: Englisch
Quantum computing applications in finance: portfolio optimization, option pricing, risk management, financial simulations, and quantum economics using quantum algorithms (QAOA, quantum annealing, quantum Monte Carlo, amplitude estimation, entangled neural…
Quellsprache: Englisch
Agent Skills for Large Language Models
Quellsprache: Englisch
Agent0
Quellsprache: Englisch
Agentic Evolution is the Path to Evolving LLMs
Quellsprache: Englisch
Agentic Hives - Self-Organizing Multi-Agent Systems
Quellsprache: Englisch
AutoSkill - Experience-Driven Skill Self-Evolution
Quellsprache: Englisch
CASTER - Multi-Agent Orchestration Routing
Quellsprache: Englisch
Live-Evo - Online Evolution of Agentic Memory
Quellsprache: Englisch
SE-Search - Self-Evolving Search Agent
Quellsprache: Englisch
Self-Improving LLM Agents at Test-Time
Quellsprache: Englisch
SERP - Self-Evolutionary RePlanning
Quellsprache: Englisch
Memex(RL)
Quellsprache: Englisch
MemRL
Quellsprache: Englisch
NNGPT - Rethinking AutoML with LLMs
Quellsprache: Englisch
Learn Like Humans - Meta-cognitive Reflection
Quellsprache: Englisch
Audited Skill-Graph Self-Improvement
Quellsprache: Englisch
Darwin Gödel Machine
Quellsprache: Englisch
E-SPL
Quellsprache: Englisch
ICE Strategy
Quellsprache: Englisch
Remember Me, Refine Me - Procedural Memory
Quellsprache: Englisch
ReVeal
Quellsprache: Englisch
Agentic Evolution is the Path to Evolving LLMs: Proposes that LLM evolution should be driven by agentic interactions rather than passive fine-tuning. Models evolve through interaction with environments, tools, and other agents, developing capabilities via…
Quellsprache: Englisch
E-SPL (Evolutionary System Prompt Learning): Evolutionary system prompt learning for self-evolving LLMs. Uses reinforcement learning to optimize system prompts, enabling LLMs to improve themselves through interaction without external supervision. Activation:…
Quellsprache: Englisch
A Practical Investigation of Training-free Relaxed Speculative Decoding
Quellsprache: Englisch
BUS (Brain-Inspired Unsupervised Self-Reflection) methodology for training Vision-Language Models to self-correct reasoning without labeled supervision. Implements unsupervised reflection via brain-inspired feedback loops, enabling VLMs to review and improve…
Quellsprache: Englisch
Dynamic neural manifolds for flexible closed-loop control on neuromorphic hardware. Implements a ring attractor spiking network on the SpiNNaker 2 chip where sensory-modulated heterogeneous inhibition, multiplicative gain, and transient currents drive rapid…
Quellsprache: Englisch
Doob-Barrier-Conditioned Diffusion methodology for turning analog neuromorphic device noise into a continual-learning consolidation resource. Casts per-synapse consolidation as a Doob h-transform: condition each weight's stochastic dynamics on never crossing…
Quellsprache: Englisch
STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture for EEG self-supervised learning. Combines latent-prediction objective with auxiliary signal-reconstruction term under spatiotemporal block masks. Pretrained on 47,703 EEG…
Quellsprache: Englisch
A Multi-Agent System for Autonomous, Fine-Tuning-Free Clinical Symptom Detection: Development and Validation Study - Clinical notes contain many of the signs and symptoms that bring patients to care, yet this information rarely reaches structured fields.…
Quellsprache: Englisch
Evidence-Grounded Verified Agentic Reasoning: A Path Toward Eliminating LLM Hallucination in Empirical Inference via Tool-Attested Kernel Proofs - Tool access alone does not make LLM empirical reasoning governable: accepted outputs need not descend from…
Quellsprache: Englisch
Internet of Agentic Things: Networked AI Agents for Closed-Loop IoT Orchestration - The paper introduces the Internet of Agentic Things (IoAT), an architectural framework that integrates agentic AI, IoT, cyber-physical systems, Physic...
Quellsprache: Englisch