Coalition Formation in LLM Agent Networks: Stability Analysis and Convergence Guarantees. - Dongxin Guo 001; Jikun Wu; Siu-Ming Yiu (CoRR, 2026)

Geometric Metrics for MoE Specialization: From Fisher Information to Early Failure Detection. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

RouteNLP: Closed-Loop LLM Routing with Conformal Cascading and Distillation Co-Optimization. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

AgentEval: DAG-Structured Step-Level Evaluation for Agentic Workflows with Error Propagation Tracking. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

SAGA: Workflow-Atomic Scheduling for AI Agent Inference on GPU Clusters. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees. - Dongxin Guo 001; Jikun Wu; Siu-Ming Yiu (CoRR, 2026)

Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation. - Jikun Wu; Dongxin Guo 001; Siu-Ming Yiu (CoRR, 2026)

EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

Brain-LLM Alignment Tracks Training Data, Not Typology. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)

Model Collapse as Cultural Evolution. - Dongxin Guo 001; Jikun Wu; Siu Ming Yiu (CoRR, 2026)