Dongxin Guo

Affiliations:
  • University of Hong Kong, Department of Compute Science, Hong Kong


According to our database1, Dongxin Guo authored at least 20 papers in 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Model Collapse as Cultural Evolution.
CoRR, May, 2026

Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs.
CoRR, May, 2026

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography.
CoRR, May, 2026

Brain-LLM Alignment Tracks Training Data, Not Typology.
CoRR, May, 2026

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution.
CoRR, May, 2026

EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent.
CoRR, May, 2026

Bias by Necessity: Impossibility Theorems for Sequential Processing with Convergent AI and Human Validation.
CoRR, May, 2026

When Can Human-AI Teams Outperform Individuals? Tight Bounds with Impossibility Guarantees.
CoRR, May, 2026

SAGA: Workflow-Atomic Scheduling for AI Agent Inference on GPU Clusters.
CoRR, May, 2026

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models.
CoRR, April, 2026

FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification.
CoRR, April, 2026

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection.
CoRR, April, 2026

AgentEval: DAG-Structured Step-Level Evaluation for Agentic Workflows with Error Propagation Tracking.
CoRR, April, 2026

RouteNLP: Closed-Loop LLM Routing with Conformal Cascading and Distillation Co-Optimization.
CoRR, April, 2026

SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models.
CoRR, April, 2026

SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention.
CoRR, April, 2026

Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension.
CoRR, April, 2026

When Do Early-Exit Networks Generalize? A PAC-Bayesian Theory of Adaptive Depth.
CoRR, April, 2026

Geometric Metrics for MoE Specialization: From Fisher Information to Early Failure Detection.
CoRR, April, 2026

Coalition Formation in LLM Agent Networks: Stability Analysis and Convergence Guarantees.
CoRR, April, 2026


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