Cover Image

TRUST: A Framework for Decentralized AI Service v.0.1

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Yu-Chao, Tan, Zhen, Zhang, Mohan, Li, Pingzhi, Zhang, Zhuo, Chen, Tianlong
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TRUST: A Decentralized Framework for Auditing Large Language Model Reasoning
by: Huang, Morris Yu-Chao, et al.
Published: (2025)

DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
by: Li, Pingzhi, et al.
Published: (2025)

QuantMoE-Bench: Examining Post-Training Quantization for Mixture-of-Experts
by: Li, Pingzhi, et al.
Published: (2024)

Can GRPO Help LLMs Transcend Their Pretraining Origin?
by: Ni, Kangqi, et al.
Published: (2025)

Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
by: Zhang, Mohan, et al.
Published: (2025)

Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
by: Li, Pingzhi, et al.
Published: (2024)

Leave It to the Experts: Detecting Knowledge Distillation via MoE Expert Signatures
by: Li, Pingzhi, et al.
Published: (2025)

Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration
by: Yun, Sukwon, et al.
Published: (2026)

OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning
by: Ding, Zezhen, et al.
Published: (2025)

Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
by: Li, Pingzhi, et al.
Published: (2024)

TRUST Agents: A Collaborative Multi-Agent Framework for Fake News Detection, Explainable Verification, and Logic-Aware Claim Reasoning
by: Venkata, Gautama Shastry Bulusu, et al.
Published: (2026)

Contextualization Distillation from Large Language Model for Knowledge Graph Completion
by: Li, Dawei, et al.
Published: (2024)

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
by: Wang, Haoran, et al.
Published: (2024)

Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
by: Li, Pingzhi, et al.
Published: (2023)

Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach
by: Tan, Zhen, et al.
Published: (2024)

AEC — Axiomatic Engine Cycle v0.1 — Initial Specification Draft
by: Brown, Cameron
Published: (2026)

Symbolic Analysis of Grover Search Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization
by: Chen, Min, et al.
Published: (2025)

Privacy-preserving Fine-tuning of Large Language Models through Flatness
by: Chen, Tiejin, et al.
Published: (2024)

Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder
by: Xu, Zhen, et al.
Published: (2025)

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction
by: Wang, Song, et al.
Published: (2025)

AgentReputation: A Decentralized Agentic AI Reputation Framework
by: Chishti, Mohd Sameen, et al.
Published: (2026)

Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
by: Hu, Tianyu, et al.
Published: (2025)

The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation
by: Zhang, Ruichen, et al.
Published: (2025)

Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening
by: Zhang, Mohan, et al.
Published: (2026)

Towards Secure and Private AI: A Framework for Decentralized Inference
by: Zhang, Hongyang, et al.
Published: (2024)

Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations
by: Tan, Zhen, et al.
Published: (2025)

Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations
by: Jaiswal, Ajay, et al.
Published: (2025)

Autonomous Agency and Persistent Intent Architecture Specification v0.1
by: Brown, Cameron
Published: (2026)

MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
by: Li, Lichi, et al.
Published: (2024)

GraphRCG: Self-Conditioned Graph Generation
by: Wang, Song, et al.
Published: (2024)

ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2025)

TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas
by: Jian, Ai, et al.
Published: (2026)

One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
by: Zhang, Mohan, et al.
Published: (2025)

Recursive Ontological Emergence and Synthetic Consciousness Ecology Specification v0.1
by: Brown, Cameron
Published: (2026)

DLO: Dynamic Layer Operation for Efficient Vertical Scaling of LLMs
by: Tan, Zhen, et al.
Published: (2024)

Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy
by: Shen, Xu, et al.
Published: (2026)

An Adaptive Responsible AI Governance Framework for Decentralized Organizations
by: Meimandi, Kiana Jafari, et al.
Published: (2025)

CFAE Framework Specification — ABO (Archetypal Behavior Ontology): Predictive Priors & Active Inference Seeding Layer - version: v0.1
by: Brown, Cameron
Published: (2026)

BrainMAP: Learning Multiple Activation Pathways in Brain Networks
by: Wang, Song, et al.
Published: (2024)

Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion
by: Tan, Zhen, et al.
Published: (2026)