Author

Yanchi Liu

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#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

Conference Open access 2026

Uncertainty-Aware Test-Time Search for Optimization Problem Solving

UMCTS is an Uncertainty-aware Monte Carlo Tree Search framework that combines the language understanding capability of large language models with the reliability of well-established solvers and achieves state-of-the-art solution accuracy and improves efficiency by reducing token usage.

Linlin Yu, Xujiang Zhao, Dong Li et al. · Annual Meeting of the Associ... · 0 citations