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Chao-Yong Jiang

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Preprint Sep 2026

Who Drives the Probability Game of VLMs? A Temporal Causal Drive Evaluation Framework

Results show that causal-drive trajectories provide complementary source-level diagnostics for multimodal generation and show a consistent transition from stronger early question and visual guidance toward increasing reliance on generated prefixes.

Shu-Yao Xiao, Sheng-Ling Wang, Hao-Yu Niu et al. · 0 citations
#natural language process... Preprint Aug 2026

When Errors Become Memories: Causal Pathway Tracing in Multi-Turn Memory-Augmented LLMs

A structural causal model (SCM)-based framework for cross-turn error propagation in memory-augmented LLMs is proposed, and experiments show that error influence generally decays with interaction distance, while the memory-update pathway contributes more persistent effects than question feedback.

Shu-Yao Xiao, Sheng-Ling Wang, Xuan Chen et al. · 0 citations

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