Author

Hai-Feng Chen

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Preprint Oct 2026

OOPMAS: Object-Oriented Multi-Agent Systems for Query-Level Workflow Generation

Multi-agent systems (MAS) powered by large language models have shown strong performance across code generation, mathematical reasoning, and question answering. However, existing methods for automating MAS design mostly operate at the task level, producing a single fixed workflow per benchmark that is applied uniformly...

Qi Cheng, Sheng-Yu Chen, Wei Cheng et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Which and When to Admit: Gradient Admission for Data-Centric Small Language Model Finetuning

LoRA fine-tuning adapts small language models (SLMs) to heterogeneous instruction data within a low-rank update subspace, making it vulnerable to three structural problems: conflicting gradients that cancel, static data selection that cannot track evolving learning dynamics, and subspace saturation that causes later up...

Hong-Yu Cao, Yan-Chi Liu, Kun-Peng Liu et al. · 0 citations

Preprint Aug 2026

TopoAgent: A Structure-Aware Perception-to-Reasoning Framework for Diagram-to-Graph Topology Extraction with Large Vision-Language Models

Diagram-to-graph topology extraction aims to extract a graph of entities and their connections from a structural diagram. This task remains challenging for current vision-language models because it requires both fine-grained perceptual grounding and topology-aware reasoning with global consistency. We present TopoBench...

Bang-Wei Guo, Xujiang Zhao, Yan-Chi Liu et al. · 0 citations