Author

Cheng-Long Wang

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#small language model Preprint Sep 2026

Reading Right, Answering Wrong: How Visual Configuration Changes Affect Evidence Use in VLMs

Findings show that configuration changes can affect how models use information they can still read, and attention interventions in LLaVA-NeXT suggest that configuration changes can weaken the use of readable information during answering.

Ding-Yang Lin, Ying-Feng Luo, Cheng-Long Wang et al. · 0 citations

#human-computer interacti... Review Sep 2026

From Review to Reuse: How Post-Task Workflow Can Support Human-AI Agent Interaction

This work investigated post-task workflows: editable, graph-based representations of an agent's completed execution that improve their understanding and error detection over a prompt-only condition, and found that validation succeeded mainly when users cross-checked across multiple evidence sources.

Ze-Kun Wu, Xin-Ru Wang, Rock Yuren Pang et al. · 0 citations